Radar / AI infrastructure / PageIndex
PageIndex: vectorless, reasoning-based RAG
MIT-licensed RAG engine that replaces the vector DB with a hierarchical tree index and lets an LLM reason its way through it; 98.7% on FinanceBench.
Why it matters
The leading real-world counterexample to vector RAG for long documents - and it's surging again on GitHub trending today (38k stars), signaling renewed interest in reasoning-first retrieval.
What you could build with it
A legal-tech team could build contract review over 500-page agreements with a tree index instead of a vector DB, letting the model reason through the document hierarchy.
Does it hold up?
Too early to judge for the current surge - 98.7% on FinanceBench is a vendor-reported benchmark; independent replications not yet surfaced in this run's research.
Learn more
First spotted on github: source.
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