@jerryjliu0: if this takes off, then i was 4 years too early https://x.com/jerryjliu0/status/1590192512639332353… only OGs remember …
Summary
Researchers have developed a new RAG approach called PageIndex that bypasses traditional dependencies like vector databases and embeddings, potentially disrupting the RAG industry.
View Cached Full Text
Cached at: 09/29/26, 01:56 PM
if this takes off, then i was 4 years too early https://x.com/jerryjliu0/status/1590192512639332353… only OGs remember gpt tree index
Oliver Prompts (@oliviscusAI): The entire RAG industry is about to get cooked.
Researchers developed a new RAG approach that bypasses almost everything traditional RAG depends on.
- No vector DB
- No data embeddings
- No chunking
- No similarity search
It’s called PageIndex.
Instead of splitting your
Similar Articles
@oliviscusAI: The entire RAG industry is about to get cooked. Researchers developed a new RAG approach that bypasses almost everythin…
Researchers introduced PageIndex, a novel RAG approach that eliminates reliance on vector databases, embeddings, and chunking, achieving 98.7% accuracy on FinanceBench and outperforming existing methods while being free and open source.
@0x0SojalSec: Document Index for Vectorless, Reasoning-based RAG, build RAG without Vector DBs. this open-source library that uses do…
PageIndex is an open-source library for vectorless, reasoning-based RAG that uses hierarchical document trees instead of embeddings, achieving 98.7% on FinanceBench. It enables context-aware retrieval without vector databases or chunking.
@NainsiDwiv50980: RAG might already be becoming obsolete. A month ago, Andrej Karpathy dropped a simple GitHub gist called “LLM Wiki.” No…
Andrej Karpathy's 'LLM Wiki' concept is sparking a rapid developer ecosystem focused on persistent AI memory and self-maintaining knowledge bases, potentially making traditional RAG obsolete.
@Marco_Ramilli: PageIndex 32,751 stars Ditch the vector DB and stop chunking. Build reasoning-based RAG with context-aware, human-like …
PageIndex is an open-source, reasoning-based RAG system that replaces vector databases and chunking with a hierarchical tree index and LLM-driven retrieval for context-aware, human-like document understanding.
@antirez: I was thinking about Vector Sets and the Redis approach to this stuff in general. Now that the hype with RAG is gone, I…
Salvatore Sanfilippo reflects on his earlier prediction that RAG would fade while raw vector search remains valuable, now that the RAG hype has subsided.