redis-developer/redis-product-search
Visual and semantic vector similarity with Redis Stack, FastAPI, PyTorch and Huggingface.
Supports both image and text-based vector search through separate embedding models (Img2Vec for images, Sentence Transformers for text), with hybrid filtering capabilities that apply metadata tags as pre-filters before vector similarity operations. Uses Redis's HNSW and flat indexing strategies for approximate and exact nearest-neighbor matching, backed by RedisVL as the Python vector database client. Built as a full-stack SPA with FastAPI backend, React frontend, and Docker Compose orchestration for seamless local development and deployment.
172 stars. No commits in the last 6 months.
Stars
172
Forks
47
Language
TypeScript
License
BSD-3-Clause
Category
Last pushed
Feb 25, 2025
Commits (30d)
0
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