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databricks-langchain as primary package (#34)
* databricks-langchain as primary package Signed-off-by: Prithvi Kannan <[email protected]> * genie Signed-off-by: Prithvi Kannan <[email protected]> --------- Signed-off-by: Prithvi Kannan <[email protected]>
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| # 🦜🔗 Using Databricks AI Bridge with Langchain | ||
| # 🦜🔗 Databricks LangChain Integration | ||
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| Integrate Databricks AI Bridge package with Langchain to allow seamless usage of Databricks AI features with Langchain/Langgraph applications. | ||
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| Note: This repository is the future home for all Databricks integrations currently found in `langchain-databricks` and `langchain-community`. We have now aliased `langchain-databricks` to `databricks-langchain`, consolidating integrations such as ChatDatabricks, DatabricksEmbeddings, DatabricksVectorSearch, and more under this package. | ||
| The `databricks-langchain` package provides seamless integration of Databricks AI features into LangChain applications. This repository is now the central hub for all Databricks-related LangChain components, consolidating previous packages such as `langchain-databricks` and `langchain-community`. | ||
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| ## Installation | ||
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| ### Install from PyPI | ||
| ### From PyPI | ||
| ```sh | ||
| pip install databricks-langchain | ||
| ``` | ||
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| ### Install from source | ||
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| ### From Source | ||
| ```sh | ||
| pip install git+ssh://[email protected]/databricks/databricks-ai-bridge.git#subdirectory=integrations/langchain | ||
| ``` | ||
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| ## Get started | ||
| ## Key Features | ||
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| ### Use LLMs on Databricks | ||
| - **LLMs Integration:** Use Databricks-hosted large language models (LLMs) like Llama and Mixtral through `ChatDatabricks`. | ||
| - **Vector Search:** Store and query vector representations using `DatabricksVectorSearch`. | ||
| - **Embeddings:** Generate embeddings with `DatabricksEmbeddings`. | ||
| - **Genie:** Use [Genie](https://www.databricks.com/product/ai-bi/genie) in Langchain. | ||
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| ## Getting Started | ||
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| ### Use LLMs on Databricks | ||
| ```python | ||
| from databricks_langchain import ChatDatabricks | ||
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| llm = ChatDatabricks(endpoint="databricks-meta-llama-3-1-70b-instruct") | ||
| ``` | ||
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| ### (Preview) Use a Genie space as an agent | ||
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| > [!NOTE] | ||
| > Requires Genie API Private Preview. Reach out to your account team for enablement. | ||
| ### Use a Genie Space as an Agent (Preview) | ||
| > **Note:** Requires Genie API Private Preview. Contact your Databricks account team for enablement. | ||
| ```python | ||
| from databricks_langchain.genie import GenieAgent | ||
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| genie_agent = GenieAgent("space-id", "Genie", description="This Genie space has access to sales data in Europe") | ||
| genie_agent = GenieAgent( | ||
| "space-id", "Genie", | ||
| description="This Genie space has access to sales data in Europe" | ||
| ) | ||
| ``` | ||
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| --- | ||
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| ## Contribution Guide | ||
| We welcome contributions! Please see our [contribution guidelines](https://github.com/databricks/databricks-ai-bridge/tree/main/integrations/langchain) for details. | ||
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| ## License | ||
| This project is licensed under the [MIT License](LICENSE). | ||
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| Thank you for using Databricks LangChain! | ||
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