playwithllm/store
A RAG-driven image product search that showcases MERN, Milvus for vector indexing, Transformers, and a local Ollama Gemma LLM. Explore integrated embeddings, store vectors in Milvus, and manipulate queries with advanced language understanding.
This tool helps retailers and e-commerce managers enhance their product search. You can upload product images and descriptions, and it creates a visual search engine that understands natural language. When customers search using text or even other images, it returns relevant products based on visual and semantic similarity.
No commits in the last 6 months.
Use this if you want to offer your customers a smart product search experience that goes beyond simple keyword matching, allowing them to find items based on how they look or detailed natural language descriptions.
Not ideal if you only need a basic keyword-based search or if your product catalog consists solely of non-visual items without image data.
Stars
22
Forks
7
Language
TypeScript
License
—
Category
Last pushed
Apr 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/playwithllm/store"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
postgresml/korvus
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on...
groovy-web/rag-system-pgvector
Production-ready RAG system using PostgreSQL + pgvector for semantic search
Syed007Hassan/Hybrid-Search-For-Rag
This project demonstrates how to implement a hybrid search engine for Retrieval-Augmented...
Diesel-Black/carta
PostgreSQL pipeline for extracting geometric and topological quantities from AI conversation...
hassanamir24/quickrag
🚀 Index and search documents quickly with QuickRAG, using your preferred embedding provider and...