Research paper
High importance
@akshay_pachaar
Importance score: 3 • Posted: February 22, 2026 at 12:30
Score
3
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: [... full content about PageIndex ...]
Media
Grok reasoning
Introduces innovative PageIndex RAG method outperforming SOTA without traditional components, open-source, high relevance to RAG topic.
Likes
1,639
Reposts
207
Views
126,357
Tags
not related to ruby programming
Tweet ID: 2025548705605341336
Prompt source: ai-news
Fetched at: February 23, 2026 at 05:30