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RAG (Retrieval-Augmented Generation)

A technique that retrieves relevant documents from a knowledge base and feeds them to the model so it answers grounded in your data.

Related resources

LlamaIndex Framework Tutorial
Learn to build RAG applications and knowledge base systems with LlamaIndex.
Haystack RAG Framework
An open-source LLM application framework from deepset, focused on retrieval-augmented generation (RAG) and building production-grade Q&A systems.
Qdrant Vector Database
A high-performance open-source vector database and similarity search engine for powering RAG and recommendation systems.