Recommendation Engine Rag Vector Databases
There are 6 recommendation engine rag tools tracked. The highest-rated is mxngjxa/lshrs at 43/100 with 13 stars.
Get all 6 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=vector-db&subcategory=recommendation-engine-rag&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
mxngjxa/lshrs
Locality Sensitive Hashing (LSH) based recommendation system. Integrates... |
|
Emerging |
| 2 |
Szymx0504/EdgeCine
Semantic Discovery Engine optimized for Edge AI inference using ONNX,... |
|
Experimental |
| 3 |
sandhiya-git-hub/Jewellens-AI-Platform
AI-powered jewelry discovery platform using CLIP embeddings and FAISS vector... |
|
Experimental |
| 4 |
pokey-zerothlawofthermodynamics222/Jewellens-AI-Platform
Discover and search jewelry collections using AI-powered image embeddings... |
|
Experimental |
| 5 |
vero-code/aspetto-ai
AI Stylist uses RAG hybrid architecture, analyzes outfits from photos and... |
|
Experimental |
| 6 |
Kavithamani7/JwelLensAI-Multimodal-Jewelry-Search-Engine
AI-powered multimodal jewelry search engine using CLIP embeddings, FAISS... |
|
Experimental |