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R2R from is an open-source agentic retrieval system that transforms RAG with multi-step reasoning across your data and the web.

Y Combinator

1,585,977 subscribers

23,251 views • 1 year ago •via X (Twitter)

Education Science & Technology

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7 Comments

Jed White 💥♻️1 year ago

Huge congrats @ocolegro - this looks awesome!!

Rainmaker2 years ago

Here I share an XGBoost model that delivers a 25% CAGR with minimal drawdown on Visa stock. In this free Substack post I share code and commentary for a powerful Machine Learning strategy that delivers powerful returns.

AI Capital1 year ago

R2R is revolutionizing RAG with open-source agentic retrieval, enabling multi-step reasoning across your data and the web. #AI

pratap Behera1 year ago

Asked my team at @nagentai to evaluate this for Agentic RAG . Can anyone connect with Sciphi AI team?

Bolenath1 year ago

A bit too advanced, making summaries instead of scraping.

Abhivendra Singh1 year ago

R2R represents an exciting leap in the realm of data retrieval and reasoning. The integration of multi-step reasoning can redefine how we interact with information, especially in education. This is the kind of innovation that empowers personalized learning experiences.

Manish Kumar1 year ago

This is a game-changer for retrieval systems! Multi-step reasoning across both private data and the web takes RAG to a whole new level. Excited to see how this evolves!

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