This is exactly where Retrieval Augmented Generation (RAG) frameworks come in. RAG is a process that improves the accuracy, currency and context of LLMs like GPT4. They work by combining a pre ...

RAG capabilities should be built into complete ... The web interface provides an intuitive dashboard where users can: Submit queries and select their preferred search mode Visualize technical ...

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 ...

They developed LLMs applications using Retrieval-Augmented Generation (RAG), a technique that tapped internal datasets to ensure models provide answers with relevant business context and reduced ...

Broadly speaking, the process of a RAG system is simple to understand.It starts with the user sending a prompt - a question or request. This natural language prompt and the associated query are ...