LangExtract + RAG: Smarter Retrieval with Metadata Filtering


Summary

The video delves into the challenges of retrieving chunks from documents without metadata and introduces langextract as a solution. It emphasizes the significance of reliable metadata in ensuring accurate retrieval of chunks. The speaker discusses building a retrieval system using lang extract for document filtering based on user queries. Detailed steps are provided on creating a lang extract pipeline to extract structured data from text documents, enhancing chunks with extracted metadata, and adding the metadata to a vector store.


Issue with Retrieval Augmented Generation Systems

Discussing the confusion that arises when retrieving chunks from documents without proper metadata and introducing langextract as a solution.

Adding Reliable Metadata to Chunks

Exploring the importance of adding reliable metadata to chunks for accurate retrieval and introducing lang extract as a tool for extracting structured data.

Building a Retrieval System

Overview of building a retrieval system using lang extract to filter documents based on user queries.

Creating a Lang Extract Pipeline

Detailed explanation of creating a lang extract pipeline to extract structured data from text documents.

Enhancing Chunks with Metadata

Discussing how to enhance chunks using metadata extracted through lang extract and adding the metadata to a vector store.

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