Beyond Naive RAG: Why Retrieval Is Not Memory
From Frontier AI Architect · 00:19:47
Show by Amar
Legal research tools built on retrieval and on some of the best document collections in any industry still hallucinated on 17% to 33% of test queries. This episode explains where retrieval breaks and what a production agent needs on top of it.In this episode:- What the Stanford and Yale study of AI legal research tools found- Why similarity search fails on multi-document and corpus-wide questions- Three layers: better retrieval, graph structure and agent memory, with the cost of each- What the GraphRAG evidence shows, and what an independent benchmark added- The case that long context windows make most of this unnecessaryRead the full article with all sources: https://substack.com/@frontieraiarchitect/note/p-221333964?r=978zejFrontier AI Architect is written by David Amar.LinkedIn: https://www.linkedin.com/in/david-amar-575192441Newsletter: https://frontieraiarchitect.substack.comContact: [email protected] episode's audio is AI-generated, based on an article written by David Amar.
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