Skip to content
Beyond Naive RAG: Why Retrieval Is Not Memory episode artwork

Oct 21, 2026 19 min

Beyond Naive RAG: Why Retrieval Is Not Memory

from Frontier AI Architect Hosted 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 unnecessary Read the full article with all sources: https://substack.com/@frontieraiarchitect/note/p-221333964?r=978zej Frontier AI Architect is written by David Amar. LinkedIn: https://www.linkedin.com/in/david-amar-575192441 Newsletter: https://frontieraiarchitect.substack.com Contact: [email protected] This episode's audio is AI-generated, based on an article written by David Amar.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Beyond Naive RAG: Why Retrieval Is Not Memory

0:00 19:47

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Frontier AI Architect?

This episode is 19 minutes long.

When was this Frontier AI Architect episode published?

This episode was published on October 21, 2026.

Can I download this Frontier AI Architect episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.