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Code Issues Packages Projects Releases Wiki Activity

rename repo namespace to langchain-ai (#11259)

Browse Source 
### Description
renamed several repository links from `hwchase17` to `langchain-ai`.

### Why
I discovered that the README file in the devcontainer contains an old
repository name, so I took the opportunity to rename the old repository
name in all files within the repository, excluding those that do not
require changes.

### Dependencies
none

### Tag maintainer
@baskaryan

### Twitter handle
[kzk_maeda](https://twitter.com/kzk_maeda)
This commit is contained in:
Kazuki Maeda
2023-10-02 04:30:58 +09:00
committed by GitHub
parent 17cdeb72ef
commit a363ab5292
30 changed files with 49 additions and 49 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/extras/additional_resources/dependents.mdx
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@@ -39,7 +39,7 @@ Dependents stats for `langchain-ai/langchain`
|[go-skynet/LocalAI](https://github.com/go-skynet/LocalAI) | 9955 |
|[AIGC-Audio/AudioGPT](https://github.com/AIGC-Audio/AudioGPT) | 9081 |
|[gventuri/pandas-ai](https://github.com/gventuri/pandas-ai) | 8201 |
|[hwchase17/langchainjs](https://github.com/hwchase17/langchainjs) | 7754 |
|[langchain-ai/langchainjs](https://github.com/langchain-ai/langchainjs) | 7754 |
|[langgenius/dify](https://github.com/langgenius/dify) | 7348 |
|[PipedreamHQ/pipedream](https://github.com/PipedreamHQ/pipedream) | 6950 |
|[h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) | 6858 |

4
docs/extras/integrations/document_loaders/git.ipynb
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@@ -40,7 +40,7 @@
"from git import Repo\n",
"\n",
"repo = Repo.clone_from(\n",
" \"https://github.com/hwchase17/langchain\", to_path=\"./example_data/test_repo1\"\n",
" \"https://github.com/langchain-ai/langchain\", to_path=\"./example_data/test_repo1\"\n",
")\n",
"branch = repo.head.reference"
]
@@ -123,7 +123,7 @@
"outputs": [],
"source": [
"loader = GitLoader(\n",
" clone_url=\"https://github.com/hwchase17/langchain\",\n",
" clone_url=\"https://github.com/langchain-ai/langchain\",\n",
" repo_path=\"./example_data/test_repo2/\",\n",
" branch=\"master\",\n",
")"

8
docs/extras/integrations/document_loaders/github.ipynb
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@@ -62,7 +62,7 @@
"outputs": [],
"source": [
"loader = GitHubIssuesLoader(\n",
" repo=\"hwchase17/langchain\",\n",
" repo=\"langchain-ai/langchain\",\n",
" access_token=ACCESS_TOKEN, # delete/comment out this argument if you've set the access token as an env var.\n",
" creator=\"UmerHA\",\n",
")"
@@ -117,7 +117,7 @@
"DataLoaders\r\n",
"- @eyurtsev\r\n",
"\n",
"{'url': 'https://github.com/hwchase17/langchain/pull/5408', 'title': 'DocumentLoader for GitHub', 'creator': 'UmerHA', 'created_at': '2023-05-29T14:50:53Z', 'comments': 0, 'state': 'open', 'labels': ['enhancement', 'lgtm', 'doc loader'], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5408, 'is_pull_request': True}\n"
"{'url': 'https://github.com/langchain-ai/langchain/pull/5408', 'title': 'DocumentLoader for GitHub', 'creator': 'UmerHA', 'created_at': '2023-05-29T14:50:53Z', 'comments': 0, 'state': 'open', 'labels': ['enhancement', 'lgtm', 'doc loader'], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5408, 'is_pull_request': True}\n"
]
}
],
@@ -147,7 +147,7 @@
"outputs": [],
"source": [
"loader = GitHubIssuesLoader(\n",
" repo=\"hwchase17/langchain\",\n",
" repo=\"langchain-ai/langchain\",\n",
" access_token=ACCESS_TOKEN, # delete/comment out this argument if you've set the access token as an env var.\n",
" creator=\"UmerHA\",\n",
" include_prs=False,\n",
@@ -220,7 +220,7 @@
"### Expected behavior\n",
"\n",
"Chain should run\n",
"{'url': 'https://github.com/hwchase17/langchain/issues/5027', 'title': \"ChatOpenAI models don't work with prompts created via ChatPromptTemplate.from_role_strings\", 'creator': 'UmerHA', 'created_at': '2023-05-20T10:39:18Z', 'comments': 1, 'state': 'open', 'labels': [], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5027, 'is_pull_request': False}\n"
"{'url': 'https://github.com/langchain-ai/langchain/issues/5027', 'title': \"ChatOpenAI models don't work with prompts created via ChatPromptTemplate.from_role_strings\", 'creator': 'UmerHA', 'created_at': '2023-05-20T10:39:18Z', 'comments': 1, 'state': 'open', 'labels': [], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5027, 'is_pull_request': False}\n"
]
}
],

2
docs/extras/integrations/document_loaders/readthedocs_documentation.ipynb
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@@ -11,7 +11,7 @@
"\n",
"This notebook covers how to load content from HTML that was generated as part of a `Read-The-Docs` build.\n",
"\n",
"For an example of this in the wild, see [here](https://github.com/hwchase17/chat-langchain).\n",
"For an example of this in the wild, see [here](https://github.com/langchain-ai/chat-langchain).\n",
"\n",
"This assumes that the HTML has already been scraped into a folder. This can be done by uncommenting and running the following command"
]

2
docs/extras/integrations/llms/modal.ipynb
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@@ -52,7 +52,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"The [`langchain.llms.modal.Modal`](https://github.com/hwchase17/langchain/blame/master/langchain/llms/modal.py) integration class requires that you deploy a Modal application with a web endpoint that complies with the following JSON interface:\n",
"The [`langchain.llms.modal.Modal`](https://github.com/langchain-ai/langchain/blame/master/langchain/llms/modal.py) integration class requires that you deploy a Modal application with a web endpoint that complies with the following JSON interface:\n",
"\n",
"1. The LLM prompt is accepted as a `str` value under the key `\"prompt\"`\n",
"2. The LLM response returned as a `str` value under the key `\"prompt\"`\n",

2
docs/extras/integrations/providers/vectara/vectara_chat.ipynb
View File

@@ -7,7 +7,7 @@
"source": [
"# Chat Over Documents with Vectara\n",
"\n",
"This notebook is based on the [chat_vector_db](https://github.com/hwchase17/langchain/blob/master/docs/modules/chains/index_examples/chat_vector_db.html) notebook, but using Vectara as the vector database."
"This notebook is based on the [chat_vector_db](https://github.com/langchain-ai/langchain/blob/master/docs/modules/chains/index_examples/chat_vector_db.html) notebook, but using Vectara as the vector database."
]
},
{

2
docs/extras/integrations/providers/vectara/vectara_text_generation.ipynb
View File

@@ -6,7 +6,7 @@
"source": [
"# Vectara Text Generation\n",
"\n",
"This notebook is based on [text generation](https://github.com/hwchase17/langchain/blob/master/docs/modules/chains/index_examples/vector_db_text_generation.ipynb) notebook and adapted to Vectara."
"This notebook is based on [text generation](https://github.com/langchain-ai/langchain/blob/master/docs/modules/chains/index_examples/vector_db_text_generation.ipynb) notebook and adapted to Vectara."
]
},
{

2
docs/extras/modules/model_io/prompts/prompt_templates/formats.mdx
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@@ -26,4 +26,4 @@ prompt.format(adjective="funny", content="chickens")
# Output: Tell me a funny joke about chickens.
```
Currently, only `jinja2` and `f-string` are supported. For other formats, kindly raise an issue on the [Github page](https://github.com/hwchase17/langchain/issues).
Currently, only `jinja2` and `f-string` are supported. For other formats, kindly raise an issue on the [Github page](https://github.com/langchain-ai/langchain/issues).

2
docs/extras/use_cases/code_understanding.ipynb
View File

@@ -92,7 +92,7 @@
"source": [
"# Clone\n",
"repo_path = \"/Users/rlm/Desktop/test_repo\"\n",
"# repo = Repo.clone_from(\"https://github.com/hwchase17/langchain\", to_path=repo_path)"
"# repo = Repo.clone_from(\"https://github.com/langchain-ai/langchain\", to_path=repo_path)"
]
},
{

2
docs/extras/use_cases/more/agents/agent_simulations/multiagent_bidding.ipynb
View File

@@ -414,7 +414,7 @@
"1. define a format they will produce their outputs in\n",
"2. parse their outputs\n",
"\n",
"We can subclass the [RegexParser](https://github.com/hwchase17/langchain/blob/master/langchain/output_parsers/regex.py) to implement our own custom output parser for bids."
"We can subclass the [RegexParser](https://github.com/langchain-ai/langchain/blob/master/langchain/output_parsers/regex.py) to implement our own custom output parser for bids."
]
},
{

2
docs/extras/use_cases/more/agents/agents/sales_agent_with_context.ipynb
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@@ -19,7 +19,7 @@
"Here, we show how the AI Sales Agent can use a **Product Knowledge Base** to speak about a particular's company offerings,\n",
"hence increasing relevance and reducing hallucinations.\n",
"\n",
"We leverage the [`langchain`](https://github.com/hwchase17/langchain) library in this implementation, specifically [Custom Agent Configuration](https://langchain-langchain.vercel.app/docs/modules/agents/how_to/custom_agent_with_tool_retrieval) and are inspired by [BabyAGI](https://github.com/yoheinakajima/babyagi) architecture ."
"We leverage the [`langchain`](https://github.com/langchain-ai/langchain) library in this implementation, specifically [Custom Agent Configuration](https://langchain-langchain.vercel.app/docs/modules/agents/how_to/custom_agent_with_tool_retrieval) and are inspired by [BabyAGI](https://github.com/yoheinakajima/babyagi) architecture ."
]
},
{

2
docs/extras/use_cases/more/code_writing/cpal.ipynb
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@@ -10,7 +10,7 @@
"\n",
"The CPAL chain builds on the recent PAL to stop LLM hallucination. The problem with the PAL approach is that it hallucinates on a math problem with a nested chain of dependence. The innovation here is that this new CPAL approach includes causal structure to fix hallucination.\n",
"\n",
"The original [PR's description](https://github.com/hwchase17/langchain/pull/6255) contains a full overview.\n",
"The original [PR's description](https://github.com/langchain-ai/langchain/pull/6255) contains a full overview.\n",
"\n",
"Using the CPAL chain, the LLM translated this\n",
"\n",

2
docs/extras/use_cases/question_answering/how_to/local_retrieval_qa.ipynb
View File

@@ -617,7 +617,7 @@
"\n",
"For an even simpler flow, use `RetrievalQA`.\n",
"\n",
"This will use a QA default prompt (shown [here](https://github.com/hwchase17/langchain/blob/275b926cf745b5668d3ea30236635e20e7866442/langchain/chains/retrieval_qa/prompt.py#L4)) and will retrieve from the vectorDB.\n",
"This will use a QA default prompt (shown [here](https://github.com/langchain-ai/langchain/blob/275b926cf745b5668d3ea30236635e20e7866442/langchain/chains/retrieval_qa/prompt.py#L4)) and will retrieve from the vectorDB.\n",
"\n",
"But, you can still pass in a prompt, as before, if desired."
]