Yahoo Finance

Vectara Launches Open Source Framework for RAG Evaluation, Empowering Major Advances in Accuracy, Reliability and Explainability for AI Agents & Other Systems

Vectara Founder and CEO Amr Awadallah said, "AI implementations – especially for agentic RAG systems – are growing more complex by the day. Sophisticated workflows, mounting security and observability ...
VentureBeat

s3: The new RAG framework that trains search agents with minimal data

Researchers at University of Illinois Urbana-Champaign have introduced s3, an open-source framework designed to build retrieval-augmented generation (RAG) systems more efficiently than current methods ...
SiliconANGLE

Vectara launches open-source framework to evaluate enterprise RAG systems

Artificial intelligence agent and assistant platform provider Vectara Inc. today announced the launch of Open RAG Eval, an open-source evaluation framework for retrieval-augmented generation. RAG is a ...

A 0.12% parameter add-on gives AI agents the working memory RAG can't

Researchers built delta-mem to give AI agents working memory at 0.12% parameter overhead, outperforming RAG and context ...
Geeky Gadgets

LLMWare unified framework for developing LLM apps with RAG

– High-performance document parsers to rapidly ingest, text chunk and ingest common document types. – Comprehensive intuitive querying methods: semantic, text, and hybrid retrieval with integrated ...
Geeky Gadgets

AI Retrieval Augmented Generation (RAG) explained by IBM

Retrieval Augmented Generation (RAG) is a groundbreaking development in the field of artificial intelligence that is transforming the way AI systems operate. By seamlessly integrating large language ...
CIO

Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...