community: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks #21334
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1. Updated the code to support streaming, changed VectaraRetriever and added VectaraRAG accordingly 2. Updated all example notebooks, including updates to FCS, streaming 3. Updated documentation 4. Updates and re-validation of regression tests
Fixed Vectara templates
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Hey @efriis and @baskaryan - just checking about your thoughts on this PR? |
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would it be better to just implement this as a vectara_v2 retriever instead? There's a few breaking changes in here that will cause issues if anyone is using this currently.
Also - am I correct in my understanding that this only implements streaming for the generic VectaraRAG Runnable and not for a retriever?
Added unit testing for backwards compatibility Retested IPYNB notebooks
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Thanks @efriis for all the great comments and suggestions to making this backwards compatible. And yes streaming is only for VectaraRAG. I am unsure how streaming from Vectara could/should work for the retriever alone (which just acts as semantic search) - did you have anything specific in mind here? |
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@ofermend, thank you for this PR looking forward to using these updates, glad to see that you made these changes backwards compatible. @efriis is there anything additional required in this PR? Apologies, I'm not familiar with the merge process/release schedule, just looking to understand when this would be available in a release? |
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…updates to documentation and example notebooks (#21334) Thank you for contributing to LangChain! **Description:** update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates **Twitter handle:** ofermend **Add tests and docs**: no new tests or docs, but updated both existing tests and existing docs
Thank you for contributing to LangChain!
Description: update to the Vectara / Langchain integration to integrate new Vectara capabilities:
Twitter handle: ofermend
Add tests and docs: no new tests or docs, but updated both existing tests and existing docs