@garrytan: Lots of retrieval systems seem to give you keyword matching and graph retrieval in a raw format This plus graph travers…
Summary
Garry Tan highlights a retrieval system that uniquely combines keyword matching, graph traversal, and gap analysis, an approach not seen elsewhere.
View Cached Full Text
Cached at: 05/23/26, 06:10 PM
Lots of retrieval systems seem to give you keyword matching and graph retrieval in a raw format
This plus graph traversal plus gap analysis is something nobody else has done https://t.co/5plx2VKN14
Similar Articles
@garrytan: I just made some new GBrain evals that help prove that my retrieval-for-AI-agent open source layer is SOTA for reading …
Garry Tan has released new evaluations for gbrain, an open-source retrieval layer for AI agents, showcasing state-of-the-art performance in memory reading and writing without LLM-in-loop retrieval.
@omarsar0: // Is Grep All You Need? // Pay attention to this on, AI devs. (bookmark it) They find that grep-style text search, whe…
A research paper from PwC finds that grep-style text search, when properly integrated into agent harnesses, can match or beat embedding-based retrieval for coding-agent tasks, suggesting vector databases may not be essential for many use cases.
@garrytan: GBrain gives you searchable knowledge
GBrain is a tool that provides searchable knowledge.
@garrytan: The latest version of GBrain doesn't just do basic retrieval. It now can do synthesized answers to the specific questio…
The latest version of GBrain adds synthesized answers to specific queries, moving beyond basic retrieval, as shown in an AB test.
P Moth-Retrieval: Graph-Free Multi-Hop Retrieval via Query-Time Orchestration (Beating Graph-Based Systems on HotpotQA) [P]
Moth-Retrieval presents a graph-free approach to multi-hop retrieval that outperforms graph-based systems on the HotpotQA benchmark.