SiliconANGLE

Ragie launches with $5.5M in funding to ease RAG application development

Ragie Corp., a new startup that helps developers build retrieval-augmented generation applications, launched today with $5.5 million in seed funding. Craft Ventures, Saga VC, Chapter One and Valor ...
InfoWorld

Haystack review: A flexible LLM app builder

Haystack is an open-source framework for building applications based on large language models (LLMs) including retrieval-augmented generation (RAG) applications, intelligent search systems for large ...
TDWI

RAG Bootcamp for AI Engineering

August 27, 2026This exclusive six-week course from TDWI—the foremost provider of education and research for data professionals - equips you with the practical skills to implement RAG systems, ...
MUO on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...
VentureBeat

Vectara raises $25M as it launches Mockingbird LLM for enterprise RAG applications

Vectara, an early pioneer in Retrieval Augmented Generation (RAG) technology, is raising a $25 million Series A funding round today as demand for its technologies continues to grow among enterprise ...
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 ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
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 ...