Researchers built a new RAG approach that:

– does not need a vector DB.
– does not embed data.
– involves no chunking.
– performs no similarity search.

And it hit 98.7% accuracy on a financial benchmark (SOTA).

Here's the core problem with RAG that this new approach solves:… pic.twitter.com/g8vf7HT3WK

— Akshay 🚀 (@akshay_pachaar) 22 février 2026

Researchers built a new RAG approach that: – does not need a vector DB.
– does not embed data.
– involves no chunking.
– performs no similarity search. And it hit 98.7% accuracy on a financial benchmark (SOTA). Here's the core problem with RAG that this new approach solves:

→ View original post on X — @akshay_pachaar,