Conversational AI doesn’t understand users — 'Intent First' architecture does

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
SiliconANGLE

Vectara raises $25M, debuts new RAG-optimized Mockingbird model

Vectara Inc., a startup that helps enterprises implement retrieval-augmented generation in their applications, has closed a $25 million early-stage funding round to support its growth efforts. The ...
Fast Company

Can RAG solve generative AI’s problems?

The Fast Company Impact Council is an invitation-only membership community of top leaders and experts who pay dues for access to peer learning, thought leadership, and more. BY Julius Černiauskas ...
Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
Geeky Gadgets

The Hidden Flaw in RAG Systems That’s Costing You Accuracy : Cut RAG Hallucinations

What if the very systems designed to enhance accuracy were the ones sabotaging it? Retrieval-Augmented Generation (RAG) systems, hailed as a breakthrough in how large language models (LLMs) integrate ...
InfoWorld

Fully local retrieval-augmented generation, step by step

How to implement a local RAG system using LangChain, SQLite-vss, Ollama, and Meta’s Llama 2 large language model. In “Retrieval-augmented generation, step by step,” we walked through a very simple RAG ...
Finextra

What is RAG in fintech and how financial services are using it with LLMs to power AI innovation

To operate, organisations in the financial services sector require hundreds of thousands of documents of rich, contextualised data. And to organise, analyse and then use that data, they are ...