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The entire RAG industry is about to get cooked.
Researchers have built a new RAG approach that:
- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.
It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book.
hit 98.7% on financebench. beats every vector RAG on the leaderboard.
no embeddings. no chunking. no vector DB.
100% open source.
