redis-developer/LLM-Recommender
Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models
Implements the Hypothetical Document Embeddings (HyDE) pattern: generates synthetic reviews via OpenAI LLM, performs semantic vector search on Redis to find similar hotel reviews, then synthesizes final recommendations using retrieved results as sources. Combines Redis vector search with tag/text filtering across multi-dimensional hotel criteria (location, amenities, sentiment), while providing source attribution through cited reviews in the output.
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28
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5
Language
Python
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Last pushed
Apr 15, 2025
Commits (30d)
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