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Code Issues Packages Projects Releases Wiki Activity

docs: streamline LangSmith teasing (#30302)

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This can only be reviewed by [hiding
whitespaces](https://github.com/langchain-ai/langchain/pull/30302/files?diff=unified&w=1).

The motivation behind this PR is to get my hands on the docs and make
the LangSmith teasing short and clear.

Right now I don't know how to do it, but this could be an include in the
future.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
This commit is contained in:
Oskar Stark
2025-03-28 20:13:22 +01:00
committed by GitHub
parent dd0faab07e
commit 0d2cea747c
61 changed files with 22329 additions and 22441 deletions
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8
docs/docs/integrations/chat/ai21.ipynb
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@@ -21,7 +21,7 @@
"\n",
"This notebook covers how to get started with AI21 chat models.\n",
"Note that different chat models support different parameters. See the [AI21 documentation](https://docs.ai21.com/reference) to learn more about the parameters in your chosen model.\n",
"[See all AI21's LangChain components.](https://pypi.org/project/langchain-ai21/) \n",
"[See all AI21's LangChain components.](https://pypi.org/project/langchain-ai21/)\n",
"\n",
"### Integration details\n",
"\n",
@@ -32,7 +32,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"\n",
"## Setup"
@@ -68,9 +68,7 @@
"cell_type": "markdown",
"id": "f6844fff-3702-4489-ab74-732f69f3b9d7",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/anthropic.ipynb
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@@ -38,7 +38,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -67,9 +67,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/azure_chat_openai.ipynb
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@@ -37,7 +37,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | \n",
"| ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ |\n",
"\n",
"## Setup\n",
"\n",
@@ -69,9 +69,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/bedrock.ipynb
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@@ -33,7 +33,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -48,9 +48,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/cerebras.ipynb
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@@ -42,7 +42,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling/) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -84,9 +84,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/cloudflare_workersai.ipynb
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@@ -30,7 +30,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | \n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -47,9 +47,7 @@
"cell_type": "markdown",
"id": "4a524cff",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

16
docs/docs/integrations/chat/cohere.ipynb
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@@ -61,18 +61,18 @@
},
{
"cell_type": "code",
"execution_count": 12,
"id": "7f11de02",
"execution_count": null,
"id": "3c2fc2201dc80557",
"metadata": {},
"outputs": [],
"source": [
"# os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass()"
"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass(\"Enter your LangSmith API key: \")"
]
},
{
"cell_type": "markdown",
"id": "4c26754b-b3c9-4d93-8f36-43049bd943bf",
"id": "31f2af10e04dec59",
"metadata": {},
"source": [
"## Usage\n",
@@ -82,11 +82,9 @@
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
"metadata": {
"tags": []
},
"execution_count": null,
"id": "fa83b00a929614ad",
"metadata": {},
"outputs": [],
"source": [
"from langchain_cohere import ChatCohere\n",

6
docs/docs/integrations/chat/deepseek.ipynb
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@@ -36,7 +36,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
":::note\n",
"\n",
@@ -71,9 +71,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/fireworks.ipynb
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@@ -31,7 +31,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | \n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ |\n",
"\n",
"## Setup\n",
"\n",
@@ -60,9 +60,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/goodfire.ipynb
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@@ -29,7 +29,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -58,9 +58,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/google_generative_ai.ipynb
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@@ -39,7 +39,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -68,9 +68,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

8
docs/docs/integrations/chat/google_vertex_ai_palm.ipynb
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@@ -23,7 +23,7 @@
"\n",
":::info Google Cloud VertexAI vs Google PaLM\n",
"\n",
"The Google Cloud VertexAI integration is separate from the [Google PaLM integration](/docs/integrations/chat/google_generative_ai/). Google has chosen to offer an enterprise version of PaLM through GCP, and this supports the models made available through there. \n",
"The Google Cloud VertexAI integration is separate from the [Google PaLM integration](/docs/integrations/chat/google_generative_ai/). Google has chosen to offer an enterprise version of PaLM through GCP, and this supports the models made available through there.\n",
"\n",
":::\n",
"\n",
@@ -37,7 +37,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -51,11 +51,11 @@
"\n",
"This codebase uses the `google.auth` library which first looks for the application credentials variable mentioned above, and then looks for system-level auth.\n",
"\n",
"For more information, see: \n",
"For more information, see:\n",
"- https://cloud.google.com/docs/authentication/application-default-credentials#GAC\n",
"- https://googleapis.dev/python/google-auth/latest/reference/google.auth.html#module-google.auth\n",
"\n",
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
]
},
{

6
docs/docs/integrations/chat/groq.ipynb
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@@ -29,7 +29,7 @@
"### Model features\n",
"| [Tool calling](../../how_to/tool_calling.ipynb) | [Structured output](../../how_to/structured_output.ipynb) | JSON mode | [Image input](../../how_to/multimodal_inputs.ipynb) | Audio input | Video input | [Token-level streaming](../../how_to/chat_streaming.ipynb) | Native async | [Token usage](../../how_to/chat_token_usage_tracking.ipynb) | [Logprobs](../../how_to/logprobs.ipynb) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | \n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ |\n",
"\n",
"## Setup\n",
"\n",
@@ -58,9 +58,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/mistralai.ipynb
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@@ -29,7 +29,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -60,9 +60,7 @@
"cell_type": "markdown",
"id": "788f37ac",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

10
docs/docs/integrations/chat/naver.ipynb
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@@ -31,13 +31,13 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling/) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"|:------------------------------------------:| :---: | :---: | :---: | :---: | :---: |:-----------------------------------------------------:| :---: |:------------------------------------------------------:|:----------------------------------:|\n",
"|❌| ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"|❌| ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
"Before using the chat model, you must go through the four steps below.\n",
"\n",
"1. Creating [NAVER Cloud Platform](https://www.ncloud.com/) account \n",
"1. Creating [NAVER Cloud Platform](https://www.ncloud.com/) account\n",
"2. Apply to use [CLOVA Studio](https://www.ncloud.com/product/aiService/clovaStudio)\n",
"3. Create a CLOVA Studio Test App or Service App of a model to use (See [here](https://guide.ncloud-docs.com/docs/en/clovastudio-playground01#테스트앱생성).)\n",
"4. Issue a Test or Service API key (See [here](https://api.ncloud-docs.com/docs/ai-naver-clovastudio-summary#API%ED%82%A4).)\n",
@@ -81,9 +81,7 @@
"cell_type": "markdown",
"id": "7c695442",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -380,7 +378,7 @@
"source": [
"### AI Filter\n",
"\n",
"AI Filter detects inappropriate output such as profanity from the test app (or service app included) created in Playground and informs the user. See [here](https://guide.ncloud-docs.com/docs/en/clovastudio-playground01#AIFilter) for details. "
"AI Filter detects inappropriate output such as profanity from the test app (or service app included) created in Playground and informs the user. See [here](https://guide.ncloud-docs.com/docs/en/clovastudio-playground01#AIFilter) for details."
]
},
{

26
docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb
View File

@@ -20,17 +20,17 @@
"This will help you getting started with NVIDIA [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatNVIDIA` features and configurations head to the [API reference](https://python.langchain.com/api_reference/nvidia_ai_endpoints/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html).\n",
"\n",
"## Overview\n",
"The `langchain-nvidia-ai-endpoints` package contains LangChain integrations building applications with models on \n",
"NVIDIA NIM inference microservice. NIM supports models across domains like chat, embedding, and re-ranking models \n",
"from the community as well as NVIDIA. These models are optimized by NVIDIA to deliver the best performance on NVIDIA \n",
"accelerated infrastructure and deployed as a NIM, an easy-to-use, prebuilt containers that deploy anywhere using a single \n",
"The `langchain-nvidia-ai-endpoints` package contains LangChain integrations building applications with models on\n",
"NVIDIA NIM inference microservice. NIM supports models across domains like chat, embedding, and re-ranking models\n",
"from the community as well as NVIDIA. These models are optimized by NVIDIA to deliver the best performance on NVIDIA\n",
"accelerated infrastructure and deployed as a NIM, an easy-to-use, prebuilt containers that deploy anywhere using a single\n",
"command on NVIDIA accelerated infrastructure.\n",
"\n",
"NVIDIA hosted deployments of NIMs are available to test on the [NVIDIA API catalog](https://build.nvidia.com/). After testing, \n",
"NIMs can be exported from NVIDIA’s API catalog using the NVIDIA AI Enterprise license and run on-premises or in the cloud, \n",
"NVIDIA hosted deployments of NIMs are available to test on the [NVIDIA API catalog](https://build.nvidia.com/). After testing,\n",
"NIMs can be exported from NVIDIA’s API catalog using the NVIDIA AI Enterprise license and run on-premises or in the cloud,\n",
"giving enterprises ownership and full control of their IP and AI application.\n",
"\n",
"NIMs are packaged as container images on a per model basis and are distributed as NGC container images through the NVIDIA NGC Catalog. \n",
"NIMs are packaged as container images on a per model basis and are distributed as NGC container images through the NVIDIA NGC Catalog.\n",
"At their core, NIMs provide easy, consistent, and familiar APIs for running inference on an AI model.\n",
"\n",
"This example goes over how to use LangChain to interact with NVIDIA supported via the `ChatNVIDIA` class.\n",
@@ -46,7 +46,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
"| ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -82,9 +82,7 @@
"cell_type": "markdown",
"id": "52dc8dcb-0a48-4a4e-9947-764116d2ffd4",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -276,7 +274,7 @@
"id": "WMW79Iegqj4e"
},
"source": [
"All of these models above are supported and can be accessed via `ChatNVIDIA`. \n",
"All of these models above are supported and can be accessed via `ChatNVIDIA`.\n",
"\n",
"Some model types support unique prompting techniques and chat messages. We will review a few important ones below.\n",
"\n",
@@ -426,9 +424,7 @@
"cell_type": "markdown",
"id": "be1688a5",
"metadata": {},
"source": [
"At the moment, some extra processing happens client-side to support larger images like the one above. But for smaller images (and to better illustrate the process going on under the hood), we can directly pass in the image as shown below: "
]
"source": "At the moment, some extra processing happens client-side to support larger images like the one above. But for smaller images (and to better illustrate the process going on under the hood), we can directly pass in the image as shown below:"
},
{
"cell_type": "code",

24
docs/docs/integrations/chat/ollama.ipynb
View File

@@ -19,7 +19,7 @@
"\n",
"[Ollama](https://ollama.ai/) allows you to run open-source large language models, such as Llama 2, locally.\n",
"\n",
"Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. \n",
"Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.\n",
"\n",
"It optimizes setup and configuration details, including GPU usage.\n",
"\n",
@@ -48,7 +48,7 @@
"* This will download the default tagged version of the model. Typically, the default points to the latest, smallest sized-parameter model.\n",
"\n",
"> On Mac, the models will be download to `~/.ollama/models`\n",
"> \n",
">\n",
"> On Linux (or WSL), the models will be stored at `/usr/share/ollama/.ollama/models`\n",
"\n",
"* Specify the exact version of the model of interest as such `ollama pull vicuna:13b-v1.5-16k-q4_0` (View the [various tags for the `Vicuna`](https://ollama.ai/library/vicuna/tags) model in this instance)\n",
@@ -61,9 +61,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -97,18 +95,18 @@
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Make sure you're using the latest Ollama version for structured outputs. Update by running:",
"id": "b18bd692076f7cf7"
"id": "b18bd692076f7cf7",
"metadata": {},
"source": "Make sure you're using the latest Ollama version for structured outputs. Update by running:"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": "%pip install -U ollama",
"id": "b7a05cba95644c2e"
"id": "b7a05cba95644c2e",
"metadata": {},
"outputs": [],
"source": "%pip install -U ollama"
},
{
"cell_type": "markdown",
@@ -256,7 +254,7 @@
"source": [
"## Tool calling\n",
"\n",
"We can use [tool calling](https://blog.langchain.dev/improving-core-tool-interfaces-and-docs-in-langchain/) with an LLM [that has been fine-tuned for tool use](https://ollama.com/library/llama3.1): \n",
"We can use [tool calling](https://blog.langchain.dev/improving-core-tool-interfaces-and-docs-in-langchain/) with an LLM [that has been fine-tuned for tool use](https://ollama.com/library/llama3.1):\n",
"\n",
"```\n",
"ollama pull llama3.1\n",

6
docs/docs/integrations/chat/together.ipynb
View File

@@ -32,7 +32,7 @@
"### Model features\n",
"| [Tool calling](../../how_to/tool_calling.ipynb) | [Structured output](../../how_to/structured_output.ipynb) | JSON mode | [Image input](../../how_to/multimodal_inputs.ipynb) | Audio input | Video input | [Token-level streaming](../../how_to/chat_streaming.ipynb) | Native async | [Token usage](../../how_to/chat_token_usage_tracking.ipynb) | [Logprobs](../../how_to/logprobs.ipynb) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | \n",
"| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |\n",
"\n",
"## Setup\n",
"\n",
@@ -61,9 +61,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/chat/vllm.ipynb
View File

@@ -46,9 +46,7 @@
"cell_type": "markdown",
"id": "c3b1707a-cf2c-4367-94e3-436c43402503",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/xai.ipynb
View File

@@ -32,7 +32,7 @@
"### Model features\n",
"| [Tool calling](../../how_to/tool_calling.ipynb) | [Structured output](../../how_to/structured_output.ipynb) | JSON mode | [Image input](../../how_to/multimodal_inputs.ipynb) | Audio input | Video input | [Token-level streaming](../../how_to/chat_streaming.ipynb) | Native async | [Token usage](../../how_to/chat_token_usage_tracking.ipynb) | [Logprobs](../../how_to/logprobs.ipynb) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ✅ | ✅ | \n",
"| ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ | ✅ | ✅ |\n",
"\n",
"## Setup\n",
"\n",
@@ -61,9 +61,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/chat/yi.ipynb
View File

@@ -21,7 +21,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | \n",
"| ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -48,9 +48,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

26
docs/docs/integrations/document_loaders/box.ipynb
View File

@@ -22,11 +22,11 @@
"\n",
"## Overview\n",
"\n",
"The `BoxLoader` class helps you get your unstructured content from Box in Langchain's `Document` format. You can do this with either a `List[str]` containing Box file IDs, or with a `str` containing a Box folder ID. \n",
"The `BoxLoader` class helps you get your unstructured content from Box in Langchain's `Document` format. You can do this with either a `List[str]` containing Box file IDs, or with a `str` containing a Box folder ID.\n",
"\n",
"The `BoxBlobLoader` class helps you get your unstructured content from Box in Langchain's `Blob` format. You can do this with a `List[str]` containing Box file IDs, a `str` containing a Box folder ID, a search query, or a `BoxMetadataQuery`. \n",
"The `BoxBlobLoader` class helps you get your unstructured content from Box in Langchain's `Blob` format. You can do this with a `List[str]` containing Box file IDs, a `str` containing a Box folder ID, a search query, or a `BoxMetadataQuery`.\n",
"\n",
"If getting files from a folder with folder ID, you can also set a `Bool` to tell the loader to get all sub-folders in that folder, as well. \n",
"If getting files from a folder with folder ID, you can also set a `Bool` to tell the loader to get all sub-folders in that folder, as well.\n",
"\n",
":::info\n",
"A Box instance can contain Petabytes of files, and folders can contain millions of files. Be intentional when choosing what folders you choose to index. And we recommend never getting all files from folder 0 recursively. Folder ID 0 is your root folder.\n",
@@ -38,13 +38,13 @@
"\n",
"| Class | Package | Local | Serializable | JS support|\n",
"| :--- | :--- | :---: | :---: | :---: |\n",
"| [BoxLoader](https://python.langchain.com/api_reference/box/document_loaders/langchain_box.document_loaders.box.BoxLoader.html) | [langchain_box](https://python.langchain.com/api_reference/box/index.html) | ✅ | ❌ | ❌ | \n",
"| [BoxBlobLoader](https://python.langchain.com/api_reference/box/document_loaders/langchain_box.blob_loaders.box.BoxBlobLoader.html) | [langchain_box](https://python.langchain.com/api_reference/box/index.html) | ✅ | ❌ | ❌ | \n",
"| [BoxLoader](https://python.langchain.com/api_reference/box/document_loaders/langchain_box.document_loaders.box.BoxLoader.html) | [langchain_box](https://python.langchain.com/api_reference/box/index.html) | ✅ | ❌ | ❌ |\n",
"| [BoxBlobLoader](https://python.langchain.com/api_reference/box/document_loaders/langchain_box.blob_loaders.box.BoxBlobLoader.html) | [langchain_box](https://python.langchain.com/api_reference/box/index.html) | ✅ | ❌ | ❌ |\n",
"### Loader features\n",
"| Source | Document Lazy Loading | Async Support\n",
"| :---: | :---: | :---: | \n",
"| BoxLoader | ✅ | ❌ | \n",
"| BoxBlobLoader | ✅ | ❌ | \n",
"| :---: | :---: | :---: |\n",
"| BoxLoader | ✅ | ❌ |\n",
"| BoxBlobLoader | ✅ | ❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -82,9 +82,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -122,7 +120,7 @@
"\n",
"### Load files\n",
"\n",
"If you wish to load files, you must provide the `List` of file ids at instantiation time. \n",
"If you wish to load files, you must provide the `List` of file ids at instantiation time.\n",
"\n",
"This requires 1 piece of information:\n",
"\n",
@@ -176,7 +174,7 @@
"source": [
"### Load from folder\n",
"\n",
"If you wish to load files from a folder, you must provide a `str` with the Box folder ID at instantiation time. \n",
"If you wish to load files from a folder, you must provide a `str` with the Box folder ID at instantiation time.\n",
"\n",
"This requires 1 piece of information:\n",
"\n",
@@ -410,7 +408,7 @@
"source": [
"## Extra fields\n",
"\n",
"All Box connectors offer the ability to select additional fields from the Box `FileFull` object to return as custom LangChain metadata. Each object accepts an optional `List[str]` called `extra_fields` containing the json key from the return object, like `extra_fields=[\"shared_link\"]`. \n",
"All Box connectors offer the ability to select additional fields from the Box `FileFull` object to return as custom LangChain metadata. Each object accepts an optional `List[str]` called `extra_fields` containing the json key from the return object, like `extra_fields=[\"shared_link\"]`.\n",
"\n",
"The connector will add this field to the list of fields the integration needs to function and then add the results to the metadata returned in the `Document` or `Blob`, like `\"metadata\" : { \"source\" : \"source, \"shared_link\" : \"shared_link\" }`. If the field is unavailable for that file, it will be returned as an empty string, like `\"shared_link\" : \"\"`."
]

4
docs/docs/integrations/document_loaders/bshtml.ipynb
View File

@@ -34,9 +34,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/json.ipynb
View File

@@ -33,9 +33,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/mathpix.ipynb
View File

@@ -42,9 +42,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/pdfplumber.ipynb
View File

@@ -29,9 +29,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/pymupdf4llm.ipynb
View File

@@ -43,9 +43,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

54
docs/docs/integrations/document_loaders/pypdfdirectory.ipynb
View File

@@ -30,24 +30,22 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:08.878423Z",
"start_time": "2025-01-21T08:00:08.876042Z"
}
},
"outputs": [],
"source": [
"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass(\"Enter your LangSmith API key: \")\n",
"# os.environ[\"LANGSMITH_TRACING\"] = \"true\""
],
"outputs": [],
"execution_count": 1
]
},
{
"cell_type": "markdown",
@@ -59,14 +57,14 @@
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:12.003718Z",
"start_time": "2025-01-21T08:00:10.291617Z"
}
},
"cell_type": "code",
"source": "%pip install -qU langchain_community pypdf pillow",
"outputs": [
{
"name": "stdout",
@@ -76,11 +74,11 @@
]
}
],
"execution_count": 2
"source": "%pip install -qU langchain_community pypdf pillow"
},
{
"metadata": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Initialization\n",
"\n",
@@ -88,13 +86,15 @@
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:18.512061Z",
"start_time": "2025-01-21T08:00:17.313969Z"
}
},
"cell_type": "code",
"outputs": [],
"source": [
"from langchain_community.document_loaders import PyPDFDirectoryLoader\n",
"\n",
@@ -102,9 +102,7 @@
" \"../../docs/integrations/document_loaders/example_data/layout-parser-paper.pdf\"\n",
")\n",
"loader = PyPDFDirectoryLoader(\"example_data/\")"
],
"outputs": [],
"execution_count": 3
]
},
{
"cell_type": "markdown",
@@ -115,16 +113,13 @@
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:23.549752Z",
"start_time": "2025-01-21T08:00:23.129010Z"
}
},
"source": [
"docs = loader.load()\n",
"docs[0]"
],
"outputs": [
{
"data": {
@@ -137,19 +132,20 @@
"output_type": "execute_result"
}
],
"execution_count": 4
"source": [
"docs = loader.load()\n",
"docs[0]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:26.612346Z",
"start_time": "2025-01-21T08:00:26.609051Z"
}
},
"source": [
"print(docs[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -159,7 +155,9 @@
]
}
],
"execution_count": 5
"source": [
"print(docs[0].metadata)"
]
},
{
"cell_type": "markdown",
@@ -170,12 +168,14 @@
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2025-01-21T08:00:30.251598Z",
"start_time": "2025-01-21T08:00:29.972141Z"
}
},
"outputs": [],
"source": [
"page = []\n",
"for doc in loader.lazy_load():\n",
@@ -185,9 +185,7 @@
" # index.upsert(page)\n",
"\n",
" page = []"
],
"outputs": [],
"execution_count": 6
]
},
{
"cell_type": "markdown",
@@ -199,10 +197,10 @@
]
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"metadata": {},
"outputs": [],
"source": ""
}
],

296
docs/docs/integrations/document_loaders/pypdfium2.ipynb
View File

@@ -37,22 +37,22 @@
{
"cell_type": "markdown",
"metadata": {},
"source": "If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:15.370257Z",
"start_time": "2025-02-06T07:04:15.367300Z"
}
},
"outputs": [],
"source": [
"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass(\"Enter your LangSmith API key: \")\n",
"# os.environ[\"LANGSMITH_TRACING\"] = \"true\""
],
"outputs": [],
"execution_count": 1
]
},
{
"cell_type": "markdown",
@@ -65,13 +65,13 @@
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:18.630037Z",
"start_time": "2025-02-06T07:04:15.634391Z"
}
},
"source": "%pip install -qU langchain_community pypdfium2",
"outputs": [
{
"name": "stdout",
@@ -81,7 +81,7 @@
]
}
],
"execution_count": 2
"source": "%pip install -qU langchain_community pypdfium2"
},
{
"cell_type": "markdown",
@@ -94,20 +94,20 @@
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:19.594910Z",
"start_time": "2025-02-06T07:04:18.671508Z"
}
},
"outputs": [],
"source": [
"from langchain_community.document_loaders import PyPDFium2Loader\n",
"\n",
"file_path = \"./example_data/layout-parser-paper.pdf\"\n",
"loader = PyPDFium2Loader(file_path)"
],
"outputs": [],
"execution_count": 3
]
},
{
"cell_type": "markdown",
@@ -118,16 +118,13 @@
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:19.717964Z",
"start_time": "2025-02-06T07:04:19.607741Z"
}
},
"source": [
"docs = loader.load()\n",
"docs[0]"
],
"outputs": [
{
"data": {
@@ -140,21 +137,20 @@
"output_type": "execute_result"
}
],
"execution_count": 4
"source": [
"docs = loader.load()\n",
"docs[0]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:19.784617Z",
"start_time": "2025-02-06T07:04:19.782020Z"
}
},
"source": [
"import pprint\n",
"\n",
"pprint.pp(docs[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -174,7 +170,11 @@
]
}
],
"execution_count": 5
"source": [
"import pprint\n",
"\n",
"pprint.pp(docs[0].metadata)"
]
},
{
"cell_type": "markdown",
@@ -185,23 +185,13 @@
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:22.359295Z",
"start_time": "2025-02-06T07:04:22.143306Z"
}
},
"source": [
"pages = []\n",
"for doc in loader.lazy_load():\n",
" pages.append(doc)\n",
" if len(pages) >= 10:\n",
" # do some paged operation, e.g.\n",
" # index.upsert(page)\n",
"\n",
" pages = []\n",
"len(pages)"
],
"outputs": [
{
"data": {
@@ -214,20 +204,27 @@
"output_type": "execute_result"
}
],
"execution_count": 6
"source": [
"pages = []\n",
"for doc in loader.lazy_load():\n",
" pages.append(doc)\n",
" if len(pages) >= 10:\n",
" # do some paged operation, e.g.\n",
" # index.upsert(page)\n",
"\n",
" pages = []\n",
"len(pages)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:23.200681Z",
"start_time": "2025-02-06T07:04:23.189169Z"
}
},
"source": [
"print(pages[0].page_content[:100])\n",
"pprint.pp(pages[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -249,7 +246,10 @@
]
}
],
"execution_count": 7
"source": [
"print(pages[0].page_content[:100])\n",
"pprint.pp(pages[0].metadata)"
]
},
{
"cell_type": "markdown",
@@ -290,21 +290,13 @@
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:27.102894Z",
"start_time": "2025-02-06T07:04:26.941787Z"
}
},
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
")\n",
"docs = loader.load()\n",
"print(len(docs))\n",
"pprint.pp(docs[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -325,7 +317,15 @@
]
}
],
"execution_count": 8
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
")\n",
"docs = loader.load()\n",
"print(len(docs))\n",
"pprint.pp(docs[0].metadata)"
]
},
{
"cell_type": "markdown",
@@ -339,21 +339,13 @@
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:29.714085Z",
"start_time": "2025-02-06T07:04:29.646263Z"
}
},
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"single\",\n",
")\n",
"docs = loader.load()\n",
"print(len(docs))\n",
"pprint.pp(docs[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -373,7 +365,15 @@
]
}
],
"execution_count": 9
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"single\",\n",
")\n",
"docs = loader.load()\n",
"print(len(docs))\n",
"pprint.pp(docs[0].metadata)"
]
},
{
"cell_type": "markdown",
@@ -387,21 +387,13 @@
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:33.462591Z",
"start_time": "2025-02-06T07:04:33.299846Z"
}
},
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"single\",\n",
" pages_delimiter=\"\\n-------THIS IS A CUSTOM END OF PAGE-------\\n\",\n",
")\n",
"docs = loader.load()\n",
"print(docs[0].page_content[:5780])"
],
"outputs": [
{
"name": "stdout",
@@ -502,7 +494,15 @@
]
}
],
"execution_count": 10
"source": [
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"single\",\n",
" pages_delimiter=\"\\n-------THIS IS A CUSTOM END OF PAGE-------\\n\",\n",
")\n",
"docs = loader.load()\n",
"print(docs[0].page_content[:5780])"
]
},
{
"cell_type": "markdown",
@@ -535,15 +535,13 @@
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:04:39.419623Z",
"start_time": "2025-02-06T07:04:37.250297Z"
}
},
"source": [
"%pip install -qU rapidocr-onnxruntime"
],
"outputs": [
{
"name": "stdout",
@@ -553,29 +551,19 @@
]
}
],
"execution_count": 11
"source": [
"%pip install -qU rapidocr-onnxruntime"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:02.902374Z",
"start_time": "2025-02-06T07:04:39.500569Z"
}
},
"source": [
"from langchain_community.document_loaders.parsers import RapidOCRBlobParser\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"markdown-img\",\n",
" images_parser=RapidOCRBlobParser(),\n",
")\n",
"docs = loader.load()\n",
"\n",
"print(docs[5].page_content)"
],
"outputs": [
{
"name": "stdout",
@@ -649,7 +637,19 @@
]
}
],
"execution_count": 12
"source": [
"from langchain_community.document_loaders.parsers import RapidOCRBlobParser\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"markdown-img\",\n",
" images_parser=RapidOCRBlobParser(),\n",
")\n",
"docs = loader.load()\n",
"\n",
"print(docs[5].page_content)"
]
},
{
"cell_type": "markdown",
@@ -663,15 +663,13 @@
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:07.656993Z",
"start_time": "2025-02-06T07:05:05.890565Z"
}
},
"source": [
"%pip install -qU pytesseract"
],
"outputs": [
{
"name": "stdout",
@@ -681,28 +679,19 @@
]
}
],
"execution_count": 13
"source": [
"%pip install -qU pytesseract"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:16.677336Z",
"start_time": "2025-02-06T07:05:07.724790Z"
}
},
"source": [
"from langchain_community.document_loaders.parsers import TesseractBlobParser\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"html-img\",\n",
" images_parser=TesseractBlobParser(),\n",
")\n",
"docs = loader.load()\n",
"print(docs[5].page_content)"
],
"outputs": [
{
"name": "stdout",
@@ -776,7 +765,18 @@
]
}
],
"execution_count": 14
"source": [
"from langchain_community.document_loaders.parsers import TesseractBlobParser\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"html-img\",\n",
" images_parser=TesseractBlobParser(),\n",
")\n",
"docs = loader.load()\n",
"print(docs[5].page_content)"
]
},
{
"cell_type": "markdown",
@@ -785,15 +785,13 @@
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:57.591688Z",
"start_time": "2025-02-06T07:05:54.591989Z"
}
},
"source": [
"%pip install -qU langchain_openai"
],
"outputs": [
{
"name": "stdout",
@@ -803,23 +801,19 @@
]
}
],
"execution_count": 15
"source": [
"%pip install -qU langchain_openai"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:58.280055Z",
"start_time": "2025-02-06T07:05:58.180689Z"
}
},
"source": [
"import os\n",
"\n",
"from dotenv import load_dotenv\n",
"\n",
"load_dotenv()"
],
"outputs": [
{
"data": {
@@ -832,46 +826,40 @@
"output_type": "execute_result"
}
],
"execution_count": 16
"source": [
"import os\n",
"\n",
"from dotenv import load_dotenv\n",
"\n",
"load_dotenv()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:05:59.170560Z",
"start_time": "2025-02-06T07:05:59.167117Z"
}
},
"outputs": [],
"source": [
"from getpass import getpass\n",
"\n",
"if not os.environ.get(\"OPENAI_API_KEY\"):\n",
" os.environ[\"OPENAI_API_KEY\"] = getpass(\"OpenAI API key =\")"
],
"outputs": [],
"execution_count": 17
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:07:05.416416Z",
"start_time": "2025-02-06T07:06:00.694853Z"
}
},
"source": [
"from langchain_community.document_loaders.parsers import LLMImageBlobParser\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"markdown-img\",\n",
" images_parser=LLMImageBlobParser(model=ChatOpenAI(model=\"gpt-4o\", max_tokens=1024)),\n",
")\n",
"docs = loader.load()\n",
"print(docs[5].page_content)"
],
"outputs": [
{
"name": "stdout",
@@ -956,7 +944,19 @@
]
}
],
"execution_count": 18
"source": [
"from langchain_community.document_loaders.parsers import LLMImageBlobParser\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"loader = PyPDFium2Loader(\n",
" \"./example_data/layout-parser-paper.pdf\",\n",
" mode=\"page\",\n",
" images_inner_format=\"markdown-img\",\n",
" images_parser=LLMImageBlobParser(model=ChatOpenAI(model=\"gpt-4o\", max_tokens=1024)),\n",
")\n",
"docs = loader.load()\n",
"print(docs[5].page_content)"
]
},
{
"cell_type": "markdown",
@@ -972,28 +972,13 @@
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2025-02-06T07:07:08.394894Z",
"start_time": "2025-02-06T07:07:08.164047Z"
}
},
"source": [
"from langchain_community.document_loaders import FileSystemBlobLoader\n",
"from langchain_community.document_loaders.generic import GenericLoader\n",
"from langchain_community.document_loaders.parsers import PyPDFium2Parser\n",
"\n",
"loader = GenericLoader(\n",
" blob_loader=FileSystemBlobLoader(\n",
" path=\"./example_data/\",\n",
" glob=\"*.pdf\",\n",
" ),\n",
" blob_parser=PyPDFium2Parser(),\n",
")\n",
"docs = loader.load()\n",
"print(docs[0].page_content)\n",
"pprint.pp(docs[0].metadata)"
],
"outputs": [
{
"name": "stdout",
@@ -1060,7 +1045,22 @@
]
}
],
"execution_count": 19
"source": [
"from langchain_community.document_loaders import FileSystemBlobLoader\n",
"from langchain_community.document_loaders.generic import GenericLoader\n",
"from langchain_community.document_loaders.parsers import PyPDFium2Parser\n",
"\n",
"loader = GenericLoader(\n",
" blob_loader=FileSystemBlobLoader(\n",
" path=\"./example_data/\",\n",
" glob=\"*.pdf\",\n",
" ),\n",
" blob_parser=PyPDFium2Parser(),\n",
")\n",
"docs = loader.load()\n",
"print(docs[0].page_content)\n",
"pprint.pp(docs[0].metadata)"
]
},
{
"cell_type": "markdown",

2
docs/docs/integrations/document_loaders/pypdfloader.ipynb
View File

@@ -37,7 +37,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": "If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/sitemap.ipynb
View File

@@ -33,9 +33,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/unstructured_markdown.ipynb
View File

@@ -32,9 +32,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/unstructured_pdfloader.ipynb
View File

@@ -34,9 +34,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/document_loaders/xml.ipynb
View File

@@ -35,9 +35,7 @@
"cell_type": "markdown",
"id": "fc4ba987",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/llms/openai.ipynb
View File

@@ -58,9 +58,7 @@
"cell_type": "markdown",
"id": "f5d528fa",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

2
docs/docs/integrations/retrievers/wikipedia.ipynb
View File

@@ -35,7 +35,7 @@
"metadata": {},
"source": [
"## Setup\n",
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
]
},
{

4
docs/docs/integrations/text_embedding/ai21.ipynb
View File

@@ -55,9 +55,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/azureopenai.ipynb
View File

@@ -63,9 +63,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/cohere.ipynb
View File

@@ -54,9 +54,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/fireworks.ipynb
View File

@@ -54,9 +54,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

12
docs/docs/integrations/text_embedding/google_vertex_ai_palm.ipynb
View File

@@ -6,7 +6,7 @@
"metadata": {},
"source": [
"---\n",
"sidebar_label: Google Vertex AI \n",
"sidebar_label: Google Vertex AI\n",
"keywords: [Vertex AI, vertexai , Google Cloud, embeddings]\n",
"---"
]
@@ -16,7 +16,7 @@
"id": "9a3d6f34",
"metadata": {},
"source": [
"# Google Vertex AI Embeddings \n",
"# Google Vertex AI Embeddings\n",
"\n",
"This will help you get started with Google Vertex AI Embeddings models using LangChain. For detailed documentation on `Google Vertex AI Embeddings` features and configuration options, please refer to the [API reference](https://python.langchain.com/api_reference/google_vertexai/embeddings/langchain_google_vertexai.embeddings.VertexAIEmbeddings.html).\n",
"\n",
@@ -29,8 +29,8 @@
"\n",
"## Setup\n",
"\n",
"To access Google Vertex AI Embeddings models you'll need to \n",
"- Create a Google Cloud account \n",
"To access Google Vertex AI Embeddings models you'll need to\n",
"- Create a Google Cloud account\n",
"- Install the `langchain-google-vertexai` integration package.\n",
"\n",
"\n",
@@ -103,9 +103,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/mistralai.ipynb
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@@ -53,9 +53,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
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@@ -53,9 +53,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

6
docs/docs/integrations/text_embedding/ollama.ipynb
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@@ -37,7 +37,7 @@
"* This will download the default tagged version of the model. Typically, the default points to the latest, smallest sized-parameter model.\n",
"\n",
"> On Mac, the models will be download to `~/.ollama/models`\n",
"> \n",
">\n",
"> On Linux (or WSL), the models will be stored at `/usr/share/ollama/.ollama/models`\n",
"\n",
"* Specify the exact version of the model of interest as such `ollama pull vicuna:13b-v1.5-16k-q4_0` (View the [various tags for the `Vicuna`](https://ollama.ai/library/vicuna/tags) model in this instance)\n",
@@ -55,9 +55,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/openai.ipynb
View File

@@ -55,9 +55,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/text_embedding/together.ipynb
View File

@@ -53,9 +53,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
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View File

@@ -54,9 +54,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/tools/cdp_agentkit.ipynb
View File

@@ -57,9 +57,7 @@
"cell_type": "markdown",
"id": "72ee0c4b",
"metadata": {},
"source": [
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/tools/github.ipynb
View File

@@ -24,9 +24,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/tools/gmail.ipynb
View File

@@ -34,9 +34,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/tools/requests.ipynb
View File

@@ -44,9 +44,7 @@
"cell_type": "markdown",
"id": "36a178eb-1f2c-411e-bf25-0240ead4c62a",
"metadata": {},
"source": [
"Note that if you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
docs/docs/integrations/tools/slack.ipynb
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@@ -29,9 +29,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

2
docs/docs/integrations/tools/sql_database.ipynb
View File

@@ -19,7 +19,7 @@
"\n",
"## Setup\n",
"\n",
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
]
},
{

14
docs/docs/integrations/vectorstores/redis.ipynb
View File

@@ -31,7 +31,7 @@
"\n",
"Most developers are familiar with `Redis`. At its core, `Redis` is a NoSQL Database in the key-value family that can used as a cache, message broker, stream processing and a primary database. Developers choose `Redis` because it is fast, has a large ecosystem of client libraries, and has been deployed by major enterprises for years.\n",
"\n",
"On top of these traditional use cases, `Redis` provides additional capabilities like the Search and Query capability that allows users to create secondary index structures within `Redis`. This allows `Redis` to be a Vector Database, at the speed of a cache. \n",
"On top of these traditional use cases, `Redis` provides additional capabilities like the Search and Query capability that allows users to create secondary index structures within `Redis`. This allows `Redis` to be a Vector Database, at the speed of a cache.\n",
"\n",
"\n",
"### Redis as a Vector Database\n",
@@ -113,7 +113,7 @@
"- Cloud marketplaces: [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-e6y7ork67pjwg?sr=0-2&ref_=beagle&applicationId=AWSMPContessa), [Google Marketplace](https://console.cloud.google.com/marketplace/details/redislabs-public/redis-enterprise?pli=1), or [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/garantiadata.redis_enterprise_1sp_public_preview?tab=Overview)\n",
"- On-premise: [Redis Enterprise Software](https://redis.com/redis-enterprise-software/overview/)\n",
"- Kubernetes: [Redis Enterprise Software on Kubernetes](https://docs.redis.com/latest/kubernetes/)\n",
" \n",
"\n",
"### Redis connection Url schemas\n",
"\n",
"Valid Redis Url schemas are:\n",
@@ -254,9 +254,7 @@
"cell_type": "markdown",
"id": "7f98392b",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -630,7 +628,7 @@
"source": [
"## Query vector store\n",
"\n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent. \n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent.\n",
"\n",
"### Query directly\n",
"\n",
@@ -966,8 +964,8 @@
" (\n",
" \"human\",\n",
" \"\"\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
"Question: {question} \n",
"Context: {context} \n",
"Question: {question}\n",
"Context: {context}\n",
"Answer:\"\"\",\n",
" ),\n",
" ]\n",

10
docs/docs/integrations/vectorstores/vdms.ipynb
View File

@@ -80,7 +80,7 @@
"source": [
"You can use `VDMS` without any credentials.\n",
"\n",
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
"To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
]
},
{
@@ -359,7 +359,7 @@
"source": [
"## Query vector store\n",
"\n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent. \n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent.\n",
"\n",
"### Query directly\n",
"\n",
@@ -479,7 +479,7 @@
"source": [
"### Query by turning into retriever\n",
"\n",
"You can also transform the vector store into a retriever for easier usage in your chains. "
"You can also transform the vector store into a retriever for easier usage in your chains."
]
},
{
@@ -807,9 +807,9 @@
"\n",
"It can be helpful to narrow down the collection before working with it.\n",
"\n",
"For example, collections can be filtered on metadata using the `get_by_constraints` method. A dictionary is used to filter metadata. Here we retrieve the document where `langchain_id = \"2\"` and remove it from the vector store. \n",
"For example, collections can be filtered on metadata using the `get_by_constraints` method. A dictionary is used to filter metadata. Here we retrieve the document where `langchain_id = \"2\"` and remove it from the vector store.\n",
"\n",
"***NOTE:*** `id` was generated as additional metadata as an integer while `langchain_id` (the internal ID) is an unique string for each entry. "
"***NOTE:*** `id` was generated as additional metadata as an integer while `langchain_id` (the internal ID) is an unique string for each entry."
]
},
{

6
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View File

@@ -37,7 +37,7 @@
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | \n",
"| ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ | ✅/❌ |\n",
"\n",
"## Setup\n",
"\n",
@@ -70,9 +70,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
libs/cli/langchain_cli/integration_template/docs/document_loaders.ipynb
View File

@@ -64,9 +64,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
libs/cli/langchain_cli/integration_template/docs/llms.ipynb
View File

@@ -63,9 +63,7 @@
"cell_type": "markdown",
"id": "4b6e1ca6",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
libs/cli/langchain_cli/integration_template/docs/text_embedding.ipynb
View File

@@ -59,9 +59,7 @@
"cell_type": "markdown",
"id": "c84fb993",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

4
libs/cli/langchain_cli/integration_template/docs/toolkits.ipynb
View File

@@ -30,9 +30,7 @@
"cell_type": "markdown",
"id": "72ee0c4b-9764-423a-9dbf-95129e185210",
"metadata": {},
"source": [
"If you want to get automated tracing from runs of individual tools, you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of individual tools, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",

8
libs/cli/langchain_cli/integration_template/docs/vectorstores.ipynb
View File

@@ -75,9 +75,7 @@
"cell_type": "markdown",
"id": "7f98392b",
"metadata": {},
"source": [
"If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:"
]
"source": "To enable automated tracing of your model calls, set your [LangSmith](https://docs.smith.langchain.com/) API key:"
},
{
"cell_type": "code",
@@ -214,7 +212,7 @@
"source": [
"## Query vector store\n",
"\n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent. \n",
"Once your vector store has been created and the relevant documents have been added you will most likely wish to query it during the running of your chain or agent.\n",
"\n",
"### Query directly\n",
"\n",
@@ -264,7 +262,7 @@
"source": [
"### Query by turning into retriever\n",
"\n",
"You can also transform the vector store into a retriever for easier usage in your chains. \n",
"You can also transform the vector store into a retriever for easier usage in your chains.\n",
"\n",
"- TODO: Edit and then run code cell to generate output"
]