Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

The video gaming website demoing ProbQA recommendation engine

Question Answering over the Archimedes Probabilistic Knowledge Base

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Probabilistic question asking system as a large language model

ProbQA is a lightweight QA summarizer powered by Ollama’s CodeLlama. It analyzes queries semantically and probabilistically to return the most relevant answers. With a FastAPI backend and simple data ingestion, it’s easy to extend, run locally, and integrate without heavy model training.