Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

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 ...
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 ...
SiliconANGLE

Contextual AI nabs $80M for its ‘RAG 2.0’ platform

Contextual AI Inc., a startup that helps enterprises build retrieval-augmented generation artificial intelligence applications, has closed a $80 million Series A round to support its commercialization ...
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 ...
InfoWorld

AWS brings RAG evaluation and LLM-as-a-judge feature to Amazon Bedrock

Amazon Web Services (AWS) has updated Amazon Bedrock with features designed to help enterprises streamline the testing of applications before deployment. Announced during the ongoing annual re:Invent ...
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 ...