7min chapter

The InfoQ Podcast cover image

Sam Partee on Retrieval Augmented Generation (RAG)

The InfoQ Podcast

CHAPTER

Document Representation and Retrieval Techniques

This chapter explores two different approaches to represent documents in ML, one involving document summarization and vector search, and the other focusing on including surrounding context. It discusses the use of sentence embeddings and larger language models for retrieval augmented generation, as well as a trick for question and answer systems using a large language model.

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