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AI Agents · Concept

Retrieval

RAG retrieves relevant external data and uses it with a language model to create a grounded answer. Common designs are two-step, agentic, and hybrid RAG.

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Syntax

Sources → document loaders → chunks → embeddings → vector store → retriever → language model → answer

In-depth API docs are only for subscribers: parameters, examples, common mistakes and interview practice.

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  • Semantic search
  • Agentic RAG
  • Hybrid RAG
  • Retrievers
  • Vector stores
  • Document loaders

Source: Retrieval. Checked 2026-11-03.