Retrieval-Augmented Generation (RAG) Explained: A Beginner’s Guide
A beginner’s guide to RAG – the technique that keeps AI answers grounded in real, current data.
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A beginner’s guide to RAG – the technique that keeps AI answers grounded in real, current data.
A vector database stores embeddings and performs similarity search for semantic retrieval, recommendations, and retrieval-augmented generation.
Grounding connects AI output to trusted documents, data, tools, or real-world context to improve relevance and reduce unsupported model responses.