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How to Build Agentic RAG with Hybrid Search

Towards Data Science / 3/13/2026

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Key Points

  • The article defines agentic RAG as a retrieval-augmented generation system where an autonomous agent can plan and execute actions to fetch information and fulfill user queries.
  • It explains hybrid search as a combination of dense embedding-based retrieval and traditional keyword search to improve coverage and relevance across sources.
  • It provides an end-to-end implementation outline, covering data ingestion, building a hybrid retriever, wiring it to an orchestrating agent, and integrating tooling for actions and memory.
  • It discusses practical challenges and design considerations, including latency, safety, evaluation, and deployment at scale.

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