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 ...
InfoQ

Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

Retrieval-Augmented Generation (RAG) effectively grounds LLM outputs in external knowledge, but does not model the runtime context, such as user identity, session state, or domain constraints, on ...
VentureBeat

Multimodal RAG is growing, here’s the best way to get started

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more As companies begin experimenting with ...
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 ...