#atom

Multi-step retrieval process for complex queries requiring layered information access

Core Idea: Recursive RAG extends traditional RAG by performing multiple rounds of retrieval based on intermediate findings, allowing the system to progressively gather information needed to answer complex, multi-part questions.

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References

  1. Asai et al. "Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection" (2023)
  2. Khattab et al. "Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP" (2022)

#rag #recursive-retrieval #complex-qa #multi-hop-reasoning #information-retrieval


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