AutoIndex: Learning Representation Programs for Retrieval
We present AutoIndex, a framework for learning representation programs: executable transformations that map raw documents into the representations exposed to a retrieval system. Rather than tuning retrievers, rerankers, or a small set of preprocessing hyperparameters, AutoIndex searches over programs that slice, enrich, normalize, reweight, or reorganize documents before indexing. At each iteration, AutoIndex performs validation-guided program search, in which agents diagnose failures of the cur
Record details
Published: 20 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 23 July 2026
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ethics.ai (20 July 2026), “AutoIndex: Learning Representation Programs for Retrieval,” evidence record 12657, https://ethics.ai/record/12657 (originally published by HuggingFace Daily Papers).
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