Showing results for Storage Vector Product
GitHub Repo
https://github.com/sajjadUllah-sys/Multilingual-RAG-Chatbot-using-ChromaDB
sajjadUllah-sys/Multilingual-RAG-Chatbot-using-ChromaDB
Production-ready multilingual RAG system with Bengali-English translation, ChromaDB vector storage, and Alibaba embeddings for intelligent product search and query processing.
GitHub Repo
https://github.com/Jcushman1116/Sparse-Matrix-Vector-Solver
Jcushman1116/Sparse-Matrix-Vector-Solver
Sparse matrix-vector product algorithms using CSR, Modified CSR, Ellpack-Itpack, and Compressed Diagonal storage in MATLAB.
GitHub Repo
https://github.com/Richard110206/ProductionRAGPythonApp
Richard110206/ProductionRAGPythonApp
A production-ready Retrieval-Augmented Generation (RAG) application enabling PDF uploads, automated text processing, and AI-powered querying with DeepSeek LLM and Qdrant vector storage.
GitHub Repo
https://github.com/Omimacgithub/spmv
Omimacgithub/spmv
Sparse Matrix-Vector product using different storage formats and gcc optimization tricks
GitHub Repo
https://github.com/Awaisali36/AI-product-data-enrichment-pipeline
Awaisali36/AI-product-data-enrichment-pipeline
Automated AI pipeline that scrapes, enriches and vectorizes 196+ industrial sewing machine products using dual-AI validation (GPT-4o + Gemini), Pinecone RAG storage, and weekly n8n orchestration. 95%+ data accuracy. Zero human intervention.
GitHub Repo
https://github.com/Sanjeet8674/advanced-product-vector-search-New-
Sanjeet8674/advanced-product-vector-search-New-
AI-powered semantic product search engine using Python and Vector Embeddings. Features synthetic data generation, MySQL storage, and an AWS Lambda-ready search handler using Cosine Similarity.
GitHub Repo
https://github.com/pythonvishal705AIML/updated_TenantMind2_production-
pythonvishal705AIML/updated_TenantMind2_production-
🚀 Production-ready Multi-Tenant RAG System with LangGraph-powered AI chatbot, GCS storage, and PostgreSQL vector database
GitHub Repo
https://github.com/rohitguptajmit/Product-recommendation
rohitguptajmit/Product-recommendation
AI-powered semantic product recommendation system built using Db2 12.1.3 Vector AI and OpenAI embeddings. Includes data generation, vector storage, similarity search, and visualization in Jupyter notebooks.
GitHub Repo
https://github.com/HamzaAITech/RAG_Bot_For_Product
HamzaAITech/RAG_Bot_For_Product
Retrieval-Augmented Generation (RAG) pipeline using LangChain, OpenAI embeddings, and ChromaDB to enable semantic search over web-based documents. LLM-powered question-answering system by integrating document loading, intelligent text chunking, vector storage, and prompt-driven contextual retrieval to generate accurate responses.
GitHub Repo
https://github.com/ShimForLife/Inventory-Management-System