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#ai-retrieval

@matospiso: Who said late interaction retrieval must be expensive?

X AI KOLs Following ↗ · 13h ago Cached

A tweet challenges the assumption that late interaction retrieval must be costly, linking to further resources or discussion.

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#ai-retrieval

@AYi_AInotes: Are you also hoarding thousands of bookmarks on Twitter, only to save them without ever reading them? Developer Alex ta…

X AI KOLs Timeline ↗ · 2026-09-22 Cached

Developer Alex launched Margin, a tool integrating Jev for efficient AI-powered search and scoring of Twitter bookmarks, reducing costs and enabling fast retrieval to turn unused bookmarks into productivity.

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#ai-retrieval

One Data and One Index Change the Agent Retrieval Boundary

Reddit r/AI_Agents ↗ · 2026-09-16

James, CTO of Zilliz, introduces Vector Lakebase and the concepts of One Data and One Index to unify data and index management for AI workloads, changing how agents retrieve information by leveraging lake-native storage.

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#ai-retrieval

Documentation is still in your Mum's filing cabinet

Hacker News Top ↗ · 2026-07-07 Cached

This article critiques the traditional folder-based organization of documentation, arguing it fails to capture the interconnected nature of knowledge, especially compared to modern AI retrieval systems that use attributes and meaning rather than physical location.

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#ai-retrieval

@cevenif: Traditional RAG is being directly overturned by a tool called PageIndex. It doesn't need vector databases, embeddings, chunking, or even similarity search. Instead, it builds a tree index for documents, allowing LLMs to drill down layer by layer like a human. On FinanceBench, it achieved 98.7%...

X AI KOLs Timeline ↗ · 2026-06-17 Cached

PageIndex is an open-source tool that builds a tree index of documents, eliminating the need for vector databases and embeddings, enabling efficient LLM retrieval. It achieves 98.7% accuracy on FinanceBench.

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