AI & Machine Learning

Layered Agentic Retrieval for Retail Floor Questions: A Solo PoC

Ali Nemati8 hours ago24 sec read4 views0 listens

A solo developer created a Python system using TF-IDF indexes to route retail associate questions across specialized knowledge domains, ensuring explainable evidence retrieval rather than relying on opaque language models. This approach prioritizes transparency and reproducibility in handling messy, multi-intent queries typical in retail settings, offering developers a concrete pattern for structuring operational assistant logic.

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Layered Agentic Retrieval for Retail Floor Questions: A Solo PoC

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