Replies: 2 comments
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To integrate a vector store with your tool effectively, considering the LangChain JavaScript documentation and the deprecations mentioned, follow these guidelines:
By following these steps, you'll align your tool with the best practices outlined in the LangChain framework and prepare it for seamless integration and future updates. If you have any specific questions or need further assistance with your implementation, feel free to ask.
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What is it you are trying to achieve? If you are trying to create a vector store retriever tool, there is a helper function to create a tool from an existing retriever ( See documentation ). However it looks like you are trying to create a chain that queries a vector store and passes the result to the LLM. In that case this example might help. Currently, it is your tool that invokes a LLM and passes on the result ( we don't know to what, since a tool by itself does nothing). Tools are usually meant to be used by Agents and their results will be passed to the LLM by the Agent executor. If you want to write a custom tool, you should return the result of the vector store, which can then be used in a subsequent step. I would however recommend to use the existing |
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Description
Because the documentation examples
https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores
Most of the functions are going to be deprecated.
I'd like to know if there is an elegant way to integrate the vector store with the tool. Is it my approach correct ?
System Info
Platform: Mac
Node: v20.11.1
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