faiss

Quick start. Index multiple documents in a repository using HuggingFace embeddings. Save them in Chroma and / or FAISS for recall. Choose OpenAI or Azure OpenAI APIs to get answers to your questions - Q&A with OpenAI and Azure OpenAI.

fully local RAG system using ollama and faiss

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

Reddit AI Agent is an intelligent tool that helps you explore Reddit like never before! 🔎 It allows you to search for any query and fetch top Reddit threads along with their most relevant comments. 🚀

Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Near-optimal vector quantization from Google's ICLR 2026 paper — 95% recall, 5x compression, zero preprocessing, pure Python FAISS replacement

🚀 Unified NLP Pipelines for Language Models

"Solace AI: Your Empathetic Digital Confidant": Solace AI is an empathetic mental health companion that understands your emotions and personality to provide personalized support through natural conversations. It creates a judgment-free space where you can express yourself freely and receive compassionate guidance tailored just for you.

KONASH: Train knowledge agents that search, retrieve, and reason. Based on KARL (Databricks, 2026).

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

LLM, Fine Tuning, Llama 2, Gemma, Mixtral, vLLM, LangChain, RAG, ChromaDB, FAISS

AI News Scraper & Semantic Search: A Python application that scrapes news articles, uses GenAI to generate summaries and identify topics, and provides semantic search capabilities through vector embeddings

AI-powered fashion visual search and personalized styling assistant using CLIP, FAISS, and Gemma-3B in Streamlit. Search visually similar fashion items, simulate user history, and generate outfit suggestions using LLMs.

Q&A System using BERT and Faiss Vector Database

Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.

Shazam-inspired music recognition system — FAISS vector search + spectral fingerprinting, with CLAP/MuQ embeddings, FastAPI backend and React frontend.