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LLM-Wiki

Agent-native retrieval system using Retrieval-as-Reasoning for dynamic knowledge navigation

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LLM-Wiki implements a Retrieval-as-Reasoning paradigm that treats information retrieval as an agentic process rather than simple chunk matching. Instead of flat vector search, it enables agents to actively search, read, traverse knowledge graphs, and make evidence sufficiency decisions. Designed specifically for autonomous agents that need to reason about what information they need and when they have enough context to proceed.

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ragautonomousframeworkopen-sourceresearch