Unite.AI

How to Build Reliable RAG: A Deep Dive into 7 Failure Points and Evaluation Frameworks

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
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 ...
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 ...
The Japan Times

Kotozna Launches "TocDex RAG" to Enhance Accuracy and Multilingual Capabilities in Generative AI

Kotozna Inc. (Head Office: Minato-ku, Tokyo; CEO: Genri Goto), a B2B SaaS company specializing in generative AI–powered ...

New framework lets AI agents rewrite their own skills without retraining the underlying model

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
WPRI 12

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

Built in Collaboration with a World-Renowned University of Waterloo Research Team, the Open RAG Eval Framework Brings Unprecedented Visibility and Optimization to Complex RAG Deployments PALO ALTO, ...
WatersTechnology

Study: RAG-based LLMs less safe than non-RAG

In the world of large language models, the retrieval-augmented generation (RAG) framework has gained favor as companies have looked to develop LLMs. RAG approaches grew in popularity about a year ago ...
Finextra

Why Consumer Banking's AI is Built Entirely on RAG and Supervised Fine-Tuning

Since 2022, the conversation around AI in consumer banking has hardly moved past simple chatbots and fraud detection. The "next frontier" is supposedly a system capable of conducting nuanced, secure ...