Intermediate ai
Retrieval-Augmented Generation (RAG)
RAG is an AI architecture that combines a retrieval system with an LLM, giving the model access to external knowledge at query time.
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RAG is an AI architecture that combines a retrieval system with an LLM, giving the model access to external knowledge at query time.
A step-by-step guide to building a Retrieval-Augmented Generation system: chunking, embeddings, vector databases, retrieval, and evaluation.
The layered architecture of modern AI systems - from compute and foundation models to applications - and where startups should focus.