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docs: fix grammar in multiple docs (#31375)
Fix grammar in multiple docs
This commit is contained in:
Michael Li
GitHub
@@ -18,7 +18,7 @@
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"# ChatCloudflareWorkersAI\n",
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"\n",
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"\n",
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"This will help you getting started with CloudflareWorkersAI [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatCloudflareWorkersAI features and configurations head to the [API reference](https://python.langchain.com/docs/integrations/chat/cloudflare_workersai/).\n",
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"This will help you get started with CloudflareWorkersAI [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatCloudflareWorkersAI features and configurations head to the [API reference](https://python.langchain.com/docs/integrations/chat/cloudflare_workersai/).\n",
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"\n",
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"\n",
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"## Overview\n",
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@@ -21,7 +21,7 @@
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"source": [
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"# ChatContextual\n",
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"\n",
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"This will help you getting started with Contextual AI's Grounded Language Model [chat models](/docs/concepts/chat_models/).\n",
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"This will help you get started with Contextual AI's Grounded Language Model [chat models](/docs/concepts/chat_models/).\n",
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"\n",
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"To learn more about Contextual AI, please visit our [documentation](https://docs.contextual.ai/).\n",
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"\n",
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@@ -18,7 +18,7 @@
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"# ChatDeepSeek\n",
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"\n",
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"\n",
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"This will help you getting started with DeepSeek's hosted [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatDeepSeek features and configurations head to the [API reference](https://python.langchain.com/api_reference/deepseek/chat_models/langchain_deepseek.chat_models.ChatDeepSeek.html).\n",
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"This will help you get started with DeepSeek's hosted [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatDeepSeek features and configurations head to the [API reference](https://python.langchain.com/api_reference/deepseek/chat_models/langchain_deepseek.chat_models.ChatDeepSeek.html).\n",
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"\n",
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":::tip\n",
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"\n",
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@@ -22,7 +22,7 @@
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"# ChatFeatherlessAi\n",
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"\n",
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"\n",
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"This will help you getting started with FeatherlessAi [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatFeatherlessAi features and configurations head to the [API reference](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.ChatFeatherlessAi.html).\n",
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"This will help you get started with FeatherlessAi [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatFeatherlessAi features and configurations head to the [API reference](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.ChatFeatherlessAi.html).\n",
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"\n",
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"- See https://featherless.ai/ for an example.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatGoodfire\n",
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"\n",
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"This will help you getting started with Goodfire [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatGoodfire features and configurations head to the [PyPI project page](https://pypi.org/project/langchain-goodfire/), or go directly to the [Goodfire SDK docs](https://docs.goodfire.ai/sdk-reference/example). All of the Goodfire-specific functionality (e.g. SAE features, variants, etc.) is available via the main `goodfire` package. This integration is a wrapper around the Goodfire SDK.\n",
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"This will help you get started with Goodfire [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatGoodfire features and configurations head to the [PyPI project page](https://pypi.org/project/langchain-goodfire/), or go directly to the [Goodfire SDK docs](https://docs.goodfire.ai/sdk-reference/example). All of the Goodfire-specific functionality (e.g. SAE features, variants, etc.) is available via the main `goodfire` package. This integration is a wrapper around the Goodfire SDK.\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatGroq\n",
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"\n",
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"This will help you getting started with Groq [chat models](../../concepts/chat_models.mdx). For detailed documentation of all ChatGroq features and configurations head to the [API reference](https://python.langchain.com/api_reference/groq/chat_models/langchain_groq.chat_models.ChatGroq.html). For a list of all Groq models, visit this [link](https://console.groq.com/docs/models?utm_source=langchain).\n",
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"This will help you get started with Groq [chat models](../../concepts/chat_models.mdx). For detailed documentation of all ChatGroq features and configurations head to the [API reference](https://python.langchain.com/api_reference/groq/chat_models/langchain_groq.chat_models.ChatGroq.html). For a list of all Groq models, visit this [link](https://console.groq.com/docs/models?utm_source=langchain).\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -6,7 +6,7 @@
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"source": [
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"# ChatHuggingFace\n",
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"\n",
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"This will help you getting started with `langchain_huggingface` [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatHuggingFace` features and configurations head to the [API reference](https://python.langchain.com/api_reference/huggingface/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html). For a list of models supported by Hugging Face check out [this page](https://huggingface.co/models).\n",
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"This will help you get started with `langchain_huggingface` [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatHuggingFace` features and configurations head to the [API reference](https://python.langchain.com/api_reference/huggingface/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html). For a list of models supported by Hugging Face check out [this page](https://huggingface.co/models).\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatMistralAI\n",
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"\n",
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"This will help you getting started with Mistral [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatMistralAI` features and configurations head to the [API reference](https://python.langchain.com/api_reference/mistralai/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html). The `ChatMistralAI` class is built on top of the [Mistral API](https://docs.mistral.ai/api/). For a list of all the models supported by Mistral, check out [this page](https://docs.mistral.ai/getting-started/models/).\n",
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"This will help you get started with Mistral [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatMistralAI` features and configurations head to the [API reference](https://python.langchain.com/api_reference/mistralai/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html). The `ChatMistralAI` class is built on top of the [Mistral API](https://docs.mistral.ai/api/). For a list of all the models supported by Mistral, check out [this page](https://docs.mistral.ai/getting-started/models/).\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -20,7 +20,7 @@
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"\n",
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"ModelScope ([Home](https://www.modelscope.cn/) | [GitHub](https://github.com/modelscope/modelscope)) is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. \n",
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"\n",
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"This will help you getting started with ModelScope Chat Endpoint.\n",
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"This will help you get started with ModelScope Chat Endpoint.\n",
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"\n",
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"\n",
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"## Overview\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatNetmind\n",
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"\n",
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"This will help you getting started with Netmind [chat models](https://www.netmind.ai/). For detailed documentation of all ChatNetmind features and configurations head to the [API reference](https://github.com/protagolabs/langchain-netmind).\n",
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"This will help you get started with Netmind [chat models](https://www.netmind.ai/). For detailed documentation of all ChatNetmind features and configurations head to the [API reference](https://github.com/protagolabs/langchain-netmind).\n",
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"\n",
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"- See https://www.netmind.ai/ for an example.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatNVIDIA\n",
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"\n",
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"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",
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"This will help you get 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",
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"\n",
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"## Overview\n",
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"The `langchain-nvidia-ai-endpoints` package contains LangChain integrations building applications with models on\n",
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@@ -19,7 +19,7 @@
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"source": [
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"# ChatOCIModelDeployment\n",
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"\n",
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"This will help you getting started with OCIModelDeployment [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatOCIModelDeployment features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.oci_data_science.ChatOCIModelDeployment.html).\n",
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"This will help you get started with OCIModelDeployment [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatOCIModelDeployment features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.oci_data_science.ChatOCIModelDeployment.html).\n",
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"\n",
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"[OCI Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/home.htm) is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in the Oracle Cloud Infrastructure. You can use [AI Quick Actions](https://blogs.oracle.com/ai-and-datascience/post/ai-quick-actions-in-oci-data-science) to easily deploy LLMs on [OCI Data Science Model Deployment Service](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-about.htm). You may choose to deploy the model with popular inference frameworks such as vLLM or TGI. By default, the model deployment endpoint mimics the OpenAI API protocol.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatOutlines\n",
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"\n",
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"This will help you getting started with Outlines [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatOutlines features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.outlines.ChatOutlines.html).\n",
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"This will help you get started with Outlines [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatOutlines features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/chat_models/langchain_community.chat_models.outlines.ChatOutlines.html).\n",
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"\n",
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"[Outlines](https://github.com/outlines-dev/outlines) is a library for constrained language generation. It allows you to use large language models (LLMs) with various backends while applying constraints to the generated output.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# ChatPipeshift\n",
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"\n",
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"This will help you getting started with Pipeshift [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatPipeshift features and configurations head to the [API reference](https://dashboard.pipeshift.com/docs).\n",
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"This will help you get started with Pipeshift [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatPipeshift features and configurations head to the [API reference](https://dashboard.pipeshift.com/docs).\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -21,7 +21,7 @@
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"source": [
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"# ChatQwQ\n",
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"\n",
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"This will help you getting started with QwQ [chat models](../../concepts/chat_models.mdx). For detailed documentation of all ChatQwQ features and configurations head to the [API reference](https://pypi.org/project/langchain-qwq/).\n",
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"This will help you get started with QwQ [chat models](../../concepts/chat_models.mdx). For detailed documentation of all ChatQwQ features and configurations head to the [API reference](https://pypi.org/project/langchain-qwq/).\n",
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"\n",
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"## Overview\n",
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"### Integration details\n",
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@@ -19,7 +19,7 @@
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"source": [
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"# ChatSambaNovaCloud\n",
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"\n",
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"This will help you getting started with SambaNovaCloud [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatSambaNovaCloud features and configurations head to the [API reference](https://docs.sambanova.ai/cloud/docs/get-started/overview).\n",
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"This will help you get started with SambaNovaCloud [chat models](/docs/concepts/chat_models/). For detailed documentation of all ChatSambaNovaCloud features and configurations head to the [API reference](https://docs.sambanova.ai/cloud/docs/get-started/overview).\n",
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"\n",
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"**[SambaNova](https://sambanova.ai/)'s** [SambaNova Cloud](https://cloud.sambanova.ai/) is a platform for performing inference with open-source models\n",
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"\n",
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@@ -19,7 +19,7 @@
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"source": [
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"# ChatSambaStudio\n",
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"\n",
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"This will help you getting started with SambaStudio [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatStudio features and configurations head to the [API reference](https://docs.sambanova.ai/sambastudio/latest/index.html).\n",
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"This will help you get started with SambaStudio [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatStudio features and configurations head to the [API reference](https://docs.sambanova.ai/sambastudio/latest/index.html).\n",
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"\n",
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"**[SambaNova](https://sambanova.ai/)'s** [SambaStudio](https://docs.sambanova.ai/sambastudio/latest/sambastudio-intro.html) SambaStudio is a rich, GUI-based platform that provides the functionality to train, deploy, and manage models in SambaNova [DataScale](https://sambanova.ai/products/datascale) systems.\n",
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"\n",
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@@ -20,7 +20,7 @@
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"vLLM can be deployed as a server that mimics the OpenAI API protocol. This allows vLLM to be used as a drop-in replacement for applications using OpenAI API. This server can be queried in the same format as OpenAI API.\n",
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"\n",
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"## Overview\n",
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"This will help you getting started with vLLM [chat models](/docs/concepts/chat_models), which leverage the `langchain-openai` package. For detailed documentation of all `ChatOpenAI` features and configurations head to the [API reference](https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html).\n",
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"This will help you get started with vLLM [chat models](/docs/concepts/chat_models), which leverage the `langchain-openai` package. For detailed documentation of all `ChatOpenAI` features and configurations head to the [API reference](https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html).\n",
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"\n",
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"### Integration details\n",
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"\n",
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@@ -6,7 +6,7 @@
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"source": [
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"# ChatYI\n",
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"\n",
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"This will help you getting started with Yi [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatYi features and configurations head to the [API reference](https://python.langchain.com/api_reference/lanchain_community/chat_models/lanchain_community.chat_models.yi.ChatYi.html).\n",
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"This will help you get started with Yi [chat models](/docs/concepts/chat_models). For detailed documentation of all ChatYi features and configurations head to the [API reference](https://python.langchain.com/api_reference/lanchain_community/chat_models/lanchain_community.chat_models.yi.ChatYi.html).\n",
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"\n",
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"[01.AI](https://www.lingyiwanwu.com/en), founded by Dr. Kai-Fu Lee, is a global company at the forefront of AI 2.0. They offer cutting-edge large language models, including the Yi series, which range from 6B to hundreds of billions of parameters. 01.AI also provides multimodal models, an open API platform, and open-source options like Yi-34B/9B/6B and Yi-VL.\n",
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"\n",
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@@ -6,7 +6,7 @@
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"source": [
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"# NVIDIA\n",
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"\n",
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"This will help you getting started with NVIDIA [models](/docs/concepts/text_llms). For detailed documentation of all `NVIDIA` features and configurations head to the [API reference](https://python.langchain.com/api_reference/nvidia_ai_endpoints/llms/langchain_nvidia_ai_endpoints.chat_models.NVIDIA.html).\n",
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"This will help you get started with NVIDIA [models](/docs/concepts/text_llms). For detailed documentation of all `NVIDIA` features and configurations head to the [API reference](https://python.langchain.com/api_reference/nvidia_ai_endpoints/llms/langchain_nvidia_ai_endpoints.chat_models.NVIDIA.html).\n",
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"\n",
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"## Overview\n",
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"The `langchain-nvidia-ai-endpoints` package contains LangChain integrations building applications with models on \n",
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@@ -6,7 +6,7 @@
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"source": [
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"# Outlines\n",
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"\n",
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"This will help you getting started with Outlines LLM. For detailed documentation of all Outlines features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/llms/langchain_community.llms.outlines.Outlines.html).\n",
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"This will help you get started with Outlines LLM. For detailed documentation of all Outlines features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/llms/langchain_community.llms.outlines.Outlines.html).\n",
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"\n",
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"[Outlines](https://github.com/outlines-dev/outlines) is a library for constrained language generation. It allows you to use large language models (LLMs) with various backends while applying constraints to the generated output.\n",
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"\n",
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@@ -21,7 +21,7 @@
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"\n",
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"`AzureAISearchRetriever` is an integration module that returns documents from an unstructured query. It's based on the BaseRetriever class and it targets the 2023-11-01 stable REST API version of Azure AI Search, which means it supports vector indexing and queries.\n",
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"\n",
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"This guide will help you getting started with the Azure AI Search [retriever](/docs/concepts/retrievers). For detailed documentation of all `AzureAISearchRetriever` features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.azure_ai_search.AzureAISearchRetriever.html).\n",
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"This guide will help you get started with the Azure AI Search [retriever](/docs/concepts/retrievers). For detailed documentation of all `AzureAISearchRetriever` features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.azure_ai_search.AzureAISearchRetriever.html).\n",
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"\n",
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"`AzureAISearchRetriever` replaces `AzureCognitiveSearchRetriever`, which will soon be deprecated. We recommend switching to the newer version that's based on the most recent stable version of the search APIs.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# Bedrock (Knowledge Bases) Retriever\n",
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"\n",
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"This guide will help you getting started with the AWS Knowledge Bases [retriever](/docs/concepts/retrievers).\n",
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"This guide will help you get started with the AWS Knowledge Bases [retriever](/docs/concepts/retrievers).\n",
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"\n",
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"[Knowledge Bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/) is an Amazon Web Services (AWS) offering which lets you quickly build RAG applications by using your private data to customize FM response.\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# BoxRetriever\n",
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"\n",
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"This will help you getting started with the Box [retriever](/docs/concepts/retrievers). For detailed documentation of all BoxRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/box/retrievers/langchain_box.retrievers.box.BoxRetriever.html).\n",
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"This will help you get started with the Box [retriever](/docs/concepts/retrievers). For detailed documentation of all BoxRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/box/retrievers/langchain_box.retrievers.box.BoxRetriever.html).\n",
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"\n",
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"# Overview\n",
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"\n",
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@@ -17,7 +17,7 @@
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"source": [
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"# CogneeRetriever\n",
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"\n",
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"This will help you getting started with the Cognee [retriever](/docs/concepts/retrievers). For detailed documentation of all CogneeRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.cognee.CogneeRetriever.html).\n",
|
||||
"This will help you get started with the Cognee [retriever](/docs/concepts/retrievers). For detailed documentation of all CogneeRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/retrievers/langchain_community.retrievers.cognee.CogneeRetriever.html).\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
|
||||
@@ -23,7 +23,7 @@
|
||||
"source": [
|
||||
"# DappierRetriever\n",
|
||||
"\n",
|
||||
"This will help you getting started with the Dappier [retriever](https://python.langchain.com/docs/concepts/retrievers/). For detailed documentation of all DappierRetriever features and configurations head to the [API reference](https://python.langchain.com/en/latest/retrievers/langchain_dappier.retrievers.Dappier.DappierRetriever.html).\n",
|
||||
"This will help you get started with the Dappier [retriever](https://python.langchain.com/docs/concepts/retrievers/). For detailed documentation of all DappierRetriever features and configurations head to the [API reference](https://python.langchain.com/en/latest/retrievers/langchain_dappier.retrievers.Dappier.DappierRetriever.html).\n",
|
||||
"\n",
|
||||
"### Setup\n",
|
||||
"\n",
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
"\n",
|
||||
"The `ElasticsearchRetriever` is a generic wrapper to enable flexible access to all `Elasticsearch` features through the [Query DSL](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html). For most use cases the other classes (`ElasticsearchStore`, `ElasticsearchEmbeddings`, etc.) should suffice, but if they don't you can use `ElasticsearchRetriever`.\n",
|
||||
"\n",
|
||||
"This guide will help you getting started with the Elasticsearch [retriever](/docs/concepts/retrievers). For detailed documentation of all `ElasticsearchRetriever` features and configurations head to the [API reference](https://python.langchain.com/api_reference/elasticsearch/retrievers/langchain_elasticsearch.retrievers.ElasticsearchRetriever.html).\n",
|
||||
"This guide will help you get started with the Elasticsearch [retriever](/docs/concepts/retrievers). For detailed documentation of all `ElasticsearchRetriever` features and configurations head to the [API reference](https://python.langchain.com/api_reference/elasticsearch/retrievers/langchain_elasticsearch.retrievers.ElasticsearchRetriever.html).\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"> [Linkup](https://www.linkup.so/) provides an API to connect LLMs to the web and the Linkup Premium Partner sources.\n",
|
||||
"\n",
|
||||
"This will help you getting started with the LinkupSearchRetriever [retriever](/docs/concepts/retrievers/). For detailed documentation of all LinkupSearchRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/linkup/retrievers/linkup_langchain.search_retriever.LinkupSearchRetriever.html).\n",
|
||||
"This will help you get started with the LinkupSearchRetriever [retriever](/docs/concepts/retrievers/). For detailed documentation of all LinkupSearchRetriever features and configurations head to the [API reference](https://python.langchain.com/api_reference/linkup/retrievers/linkup_langchain.search_retriever.LinkupSearchRetriever.html).\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
"source": [
|
||||
"# ZoteroRetriever\n",
|
||||
"\n",
|
||||
"This will help you getting started with the Zotero [retriever](/docs/concepts/retrievers). For detailed documentation of all ZoteroRetriever features and configurations head to the [Github page](https://github.com/TimBMK/langchain-zotero-retriever).\n",
|
||||
"This will help you get started with the Zotero [retriever](/docs/concepts/retrievers). For detailed documentation of all ZoteroRetriever features and configurations head to the [Github page](https://github.com/TimBMK/langchain-zotero-retriever).\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
"source": [
|
||||
"# SambaNovaCloudEmbeddings\n",
|
||||
"\n",
|
||||
"This will help you getting started with SambaNovaCloud embedding models using LangChain. For detailed documentation on `SambaNovaCloudEmbeddings` features and configuration options, please refer to the [API reference](https://docs.sambanova.ai/cloud/docs/get-started/overview).\n",
|
||||
"This will help you get started with SambaNovaCloud embedding models using LangChain. For detailed documentation on `SambaNovaCloudEmbeddings` features and configuration options, please refer to the [API reference](https://docs.sambanova.ai/cloud/docs/get-started/overview).\n",
|
||||
"\n",
|
||||
"**[SambaNova](https://sambanova.ai/)'s** [SambaNova Cloud](https://cloud.sambanova.ai/) is a platform for performing inference with open-source models\n",
|
||||
"\n",
|
||||
|
||||
@@ -21,7 +21,7 @@
|
||||
"source": [
|
||||
"# Dappier Tool\n",
|
||||
"\n",
|
||||
"This will help you getting started with the Dappier [tool](https://python.langchain.com/docs/concepts/tools/). For detailed documentation of all DappierRetriever features and configurations head to the [API reference](https://python.langchain.com/en/latest/tools/langchain_dappier.tools.Dappier.DappierRealTimeSearchTool.html).\n",
|
||||
"This will help you get started with the Dappier [tool](https://python.langchain.com/docs/concepts/tools/). For detailed documentation of all DappierRetriever features and configurations head to the [API reference](https://python.langchain.com/en/latest/tools/langchain_dappier.tools.Dappier.DappierRealTimeSearchTool.html).\n",
|
||||
"\n",
|
||||
"## Overview\n",
|
||||
"\n",
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
"source": [
|
||||
"# Gmail Toolkit\n",
|
||||
"\n",
|
||||
"This will help you getting started with the GMail [toolkit](/docs/concepts/tools/#toolkits). This toolkit interacts with the GMail API to read messages, draft and send messages, and more. For detailed documentation of all GmailToolkit features and configurations head to the [API reference](https://python.langchain.com/api_reference/google_community/gmail/langchain_google_community.gmail.toolkit.GmailToolkit.html).\n",
|
||||
"This will help you get started with the GMail [toolkit](/docs/concepts/tools/#toolkits). This toolkit interacts with the GMail API to read messages, draft and send messages, and more. For detailed documentation of all GmailToolkit features and configurations head to the [API reference](https://python.langchain.com/api_reference/google_community/gmail/langchain_google_community.gmail.toolkit.GmailToolkit.html).\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"source": [
|
||||
"# MemgraphToolkit\n",
|
||||
"\n",
|
||||
"This will help you getting started with the Memgraph [toolkit](/docs/concepts/tools/#toolkits). \n",
|
||||
"This will help you get started with the Memgraph [toolkit](/docs/concepts/tools/#toolkits). \n",
|
||||
"\n",
|
||||
"Tools within `MemgraphToolkit` are designed for the interaction with the `Memgraph` database.\n",
|
||||
"\n",
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
"source": [
|
||||
"# Slack Toolkit\n",
|
||||
"\n",
|
||||
"This will help you getting started with the Slack [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all SlackToolkit features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.slack.toolkit.SlackToolkit.html).\n",
|
||||
"This will help you get started with the Slack [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all SlackToolkit features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.slack.toolkit.SlackToolkit.html).\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"source": [
|
||||
"# SQLDatabase Toolkit\n",
|
||||
"\n",
|
||||
"This will help you getting started with the SQL Database [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all `SQLDatabaseToolkit` features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.sql.toolkit.SQLDatabaseToolkit.html).\n",
|
||||
"This will help you get started with the SQL Database [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all `SQLDatabaseToolkit` features and configurations head to the [API reference](https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.sql.toolkit.SQLDatabaseToolkit.html).\n",
|
||||
"\n",
|
||||
"Tools within the `SQLDatabaseToolkit` are designed to interact with a `SQL` database. \n",
|
||||
"\n",
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"- TODO: Make sure API reference link is correct.\n",
|
||||
"\n",
|
||||
"This will help you getting started with __ModuleName__ [chat models](/docs/concepts/chat_models). For detailed documentation of all Chat__ModuleName__ features and configurations head to the [API reference](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.Chat__ModuleName__.html).\n",
|
||||
"This will help you get started with __ModuleName__ [chat models](/docs/concepts/chat_models). For detailed documentation of all Chat__ModuleName__ features and configurations head to the [API reference](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.Chat__ModuleName__.html).\n",
|
||||
"\n",
|
||||
"- TODO: Add any other relevant links, like information about models, prices, context windows, etc. See https://python.langchain.com/docs/integrations/chat/openai/ for an example.\n",
|
||||
"\n",
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"- TODO: Make sure API reference link is correct.\n",
|
||||
"\n",
|
||||
"This will help you getting started with the __ModuleName__ [retriever](/docs/concepts/retrievers). For detailed documentation of all __ModuleName__Retriever features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/retrievers/__module_name__.retrievers.__ModuleName__.__ModuleName__Retriever.html).\n",
|
||||
"This will help you get started with the __ModuleName__ [retriever](/docs/concepts/retrievers). For detailed documentation of all __ModuleName__Retriever features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/retrievers/__module_name__.retrievers.__ModuleName__.__ModuleName__Retriever.html).\n",
|
||||
"\n",
|
||||
"### Integration details\n",
|
||||
"\n",
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"- TODO: Make sure API reference link is correct.\n",
|
||||
"\n",
|
||||
"This will help you getting started with the __ModuleName__ [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all __ModuleName__Toolkit features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/agent_toolkits/__module_name__.agent_toolkits.__ModuleName__.toolkit.__ModuleName__Toolkit.html).\n",
|
||||
"This will help you get started with the __ModuleName__ [toolkit](/docs/concepts/tools/#toolkits). For detailed documentation of all __ModuleName__Toolkit features and configurations head to the [API reference](https://api.python.langchain.com/en/latest/agent_toolkits/__module_name__.agent_toolkits.__ModuleName__.toolkit.__ModuleName__Toolkit.html).\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
|
||||
Reference in New Issue
Block a user