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Multi-turn retrieval

As explained in The Art of AI Product Development

A retrieval technique that performs successive search rounds to obtain additional context or fill gaps in earlier results.

Multi-turn retrieval refines search across successive rounds. After an initial retrieval, the system gathers additional layers of context to close gaps in complex outputs. section 7.3.3

From first-pass results to a complete analysis

A system creating a whitepaper or market analysis uses later retrieval rounds to find context missing from the first round, making the final document more thorough and well rounded. section 7.3.3

How The Art of AI Product Development covers it

How deep it goes
Explains iterative retrieval and its purpose, but does not specify implementation steps or search-control logic.
Examples
Uses whitepapers and market analyses as examples of documents needing layered contextual retrieval.
What it assumes
Assumes a retrieval-augmented generation pipeline and an existing first retrieval round.
What you can do after
Apply it by refining searches across multiple rounds when an initial retrieval leaves important context missing.
How it connects
Connects retrieval-augmented generation with context completeness and information fusion.
Cover of The Art of AI Product Development
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This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.