We release parent document retriever in Python earlier this week, now available in JS Blends "small chunk size for embedding to capture semantic meaning" with "large chunk returned, to provide more context" OG tweet: https://
x.com/hwchase17/stat
us/1689301894769094656?s=20
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@hwchase17
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Parent Document Retriever Now Available JavaScript Python
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LangSmith Newsletter Second Edition Highlights Community Growth
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We just sent out the second edition of our newsletter, and its fun to see the pace of the community We added two new sections ("Use-cases we love" and "Thank You's") to highlight this We also cover LangSmith updates like team support and our new cookbook repo
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Advanced Retrieval Methods for RAG Applications
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Friday viewing: "Advanced Retrieval" Webinar I had a great time discussing: – Importance of preprocessing @mrobinson0623 of @UnstructuredIO – Different retrieval methods to power RAG applications
– What lies beyond simple RAG? @atroyn of @trychroma -
Evaluating Question-Answering Applications: A Practical Cookbook
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Everyone's building question/answering applications, but evaluating them is pretty tricky We're trying to make this easier. This cookbook shows how to evaluate the final answers (end-to-end app). We'll add one more focused on just retrieval shortly. What else would be helpful?
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Balancing Chunk Size for Semantic Embeddings in RAG Systems
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There was always a balance between small enough chunks to allow the embeddings to capture the semantic meaning of a chunk, while at the same time wanting them to be long enough to have the full context This helps strike this balance Docs: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/parent_document_retriever
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Production Data Ingestion Webinar with Airbyte and Sweep
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"Production Ingestion" Webinar In order to have good retrieval, you need to ingest data properly and at scale. Excited to announce that will be the focus our next webinar We'll be joined by @AirbyteHQ and @sweepai
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Vercel Template for AI Agents with Intermediate Steps Display
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New vercel template and cookbook for agents – show the intermediate steps in a clear way
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LangSmith: Debugging, Testing, and Monitoring Tools for LangChain
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Lots of fun stuff in LangSmith – debugging, testing, evaluation, monitoring And you can use it all even if you aren’t using LangChain! Great new guide
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Data Frameworks for Production Vectorstore Management
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It's nice to see more data frameworks emerging for production considerations (keeping context up-to-date and in-sync in a vectorstore)
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Balancing Chunk Size for Semantic Embeddings in RAG Systems
By
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There was always a balance between small enough chunks to allow the embeddings to capture the semantic meaning of a chunk, while at the same time wanting them to be long enough to have the full context This helps strike this balance Docs: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/parent_document_retriever
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