By Vaibhav Singh, a coauthor of ThinkRetrieve. Published September 6, 2026. Prepared with AI assistance from the project documentation and saved experiment records.
A retrieval query can change after a model starts reasoning. That is the practical idea behind ThinkRetrieve: ask for an interim answer, use it together with the original question to retrieve a worked solution, and then let the model continue with that example.
This post walks through a small local-model demonstration. It uses six paraphrases of one synthetic incident, selected after exploratory screening. These are development examples, not a held-out benchmark.