Long-Term Memory for LLMs, with HippoRAG author Bernal Jiménez Gutierrez

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Nathan interviews Bernal Jimenez Gutierrez, creator of HippoRAG, a novel approach to retrieval augmented generation inspired by the human hippocampus. In this episode of The Cognitive Revolution, we explore how HippoRAG improves on traditional RAG systems, its neuroanatomical inspiration, and its potential for handling complex queries requiring multi-hop reasoning. Join us for an insightful discussion on the future of AI memory systems.

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CHAPTERS:

(00:00:00) About the Show

(00:02:52) Intro

(00:05:10) RAG

(00:09:29) Hippocampal Memory Indexing Theory

(00:14:29) Neocortex, Parahippocampal Regions, Hippocampus

(00:18:35) Hipporag (Part 1)

(00:21:12) Sponsors: Oracle | Brave

(00:23:20) Hipporag (Part 2)

(00:23:29) Understanding the Hippocampus

(00:29:37) RAG

(00:31:38) Runtime (Part 1)

(00:36:30) Sponsors: Omneky | Squad

(00:38:17) Runtime (Part 2)

(00:38:17) PageRank

(00:39:29) Headline Results

(00:43:22) Gaia Benchmark

(00:46:33) Pathfinding vs Path Following

(00:51:24) Future work

(00:53:26) Starting with a query

(00:58:30) Long context LLMs

(01:01:50) Hybrid approach

(01:05:03) AI Town

(01:06:58) Flair

(01:09:05) Getting it right, not cheap

(01:12:33) Technologies to highlight

(01:16:57) AI capabilities that are still unsolved

(01:19:47) Transformers meet neural algorithmic reasoners

(01:21:02) Closing

(01:21:31) Outro