RAG from scratch: Part 12 (Multi-Representation Indexing)
From the video description
Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the 12th video in our series and focuses on some useful tricks for indexing full documents. Problem: Many RAG approaches focus on splitting documents into chunks and returning some number upon retrieval for the LLM. But chunk size and chunk number can be brittle parameters that many user find difficult to set; both can significantly affect results if they do not contain all context to answer a question.
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Sources
Video by LangChain, played through YouTube.
- Indie Picks
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