20min chapter

GraphStuff.FM: The Neo4j Graph Database Developer Podcast cover image

GenAI solutions with LangChain: Lance Martin on LLMs, agents, evals, and more!

GraphStuff.FM: The Neo4j Graph Database Developer Podcast

CHAPTER

Optimizing Retrieval and Evaluation in LangChain Expressions

The chapter explores the significance of query database expressiveness for building a RAG system and discusses different stages of the process, such as query transformation, construction, and generation. It highlights strategies like multi-representation indexing for optimizing retrieval processes and emphasizes the importance of running evaluations to avoid overcomplicating projects and enhance system performance.

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