Build an agentic RAG system that performs multi-step retrieval with query decomposition, self-reflection, and adaptive search.
Set up your vector store with indexed documents. Configure the LLM and retrieval parameters. Test with simple queries first, then progressively complex multi-hop questions. Monitor reflection iterations.
Initial release
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