Scrape YouTube videos, extract transcripts, and build a semantic search AI knowledge base using RAG and FAISS.

Semantic Search using FAISS & ElasticSearch

PaperScope is an AI-powered research assistant that helps you search, summarize, and semantically explore academic papers using Gemini, FAISS, and Streamlit. Easily upload PDFs, run arXiv searches, and find relevant papers faster with natural language queries

Developing a RAG-powered chatbot for CreditTrust Financial that analyzes customer complaints across five financial products. The AI tool retrieves relevant complaint narratives using semantic search and generates actionable insights, helping product managers identify trends faster. Built with Python, LangChain, FAISS/ChromaDB, and Gradio/Streamlit.

Content-based movie recommendation engine using SBERT semantic embeddings, FAISS vector search, and FastAPI. Features 33k+ movies with real-time TMDB enrichment.

A real-time Linux log monitoring and semantic search tool that streams logs from journalctl, deduplicates repeated entries, embeds them using SentenceTransformer, and indexes them with FAISS for fast similarity search.

Semantic search over DevRev knowledge base using OpenAI embeddings and FAISS

A full-stack anime recommendation system that combines multiple machine learning approaches to provide personalized anime recommendations. The system implements collaborative filtering (user-based, item-based, neural collaborative filtering), hybrid models, and semantic search using FAISS vector indexing.

Creating a RAG-powered assistant for CreditTrust Financial that examines client complaints across five financial services. The AI solution fetches relevant complaint records using semantic search and delivers practical insights, helping product teams detect patterns faster. Built with Python, LangChain, FAISS/ChromaDB, and Gradio/Streamlit.

NLP-powered semantic document search using HuggingFace transformers and FAISS

A smart FAQ chatbot powered by Retrieval-Augmented Generation (RAG) architecture. This project uses FastAPI for the backend, FAISS for semantic search, and SentenceTransformers to embed questions. It retrieves the most relevant content from a custom dataset and generates accurate, context-aware responses using LLMs like gpt-4.1-mini.

An interactive CLI-based Smart FAQ system powered by LangChain and FAISS that retrieves accurate answers using semantic search and HuggingFace embeddings.

A multi-agent chatbot that ingests PDFs, PPTX, CSV, DOCX, and TXT files, performs FAISS-based semantic search, and answers queries via an interactive Streamlit UI with structured agent communication using MCP.

No description available

Multi-document semantic search backend using FastAPI, embeddings, and FAISS

A content-based book recommendation system using Sentence Transformers and FAISS for fast semantic search based on book descriptions.

Semantic course search and role-based learning-path generation using SBERT embeddings, FAISS hybrid retrieval, dbt transformations, and a Streamlit UI.

AI Codebase Analyzer analyzes GitHub repositories using a RAG pipeline, semantic code search, and FAISS vector indexing to answer questions about a codebase.

Local semantic search for Python code. Find files by meaning, not just keywords. Search by concepts using natural language. Powered by AI embeddings and FAISS. Free, private, and works completely offline.

AI Powered Semantic Product Search using FAISS + Sentence Transformers

Semantic search engine over the Qur'an using embeddings and FAISS.

AI-powered semantic search engine for scientific literature using SPECTER embeddings and FAISS

CLI tool for semantic search over text and source code using embeddings and FAISS

Self-hosted document search engine with full-text, semantic, and hybrid search using Lucene, FAISS, and Docker Compose.

Semantic search and recommendation engine for 500+ anime entries, built using RAG architecture (Nomic Embeddings + FAISS) and Streamlit.

AI-powered article recommender using sentence embeddings and FAISS for semantic search. Includes a FastAPI backend and Streamlit frontend.

A demonstration of semantic similarity search using embeddings and vector-based retrieval techniques, implemented with FAISS and API-based embeddings.

A lightweight RAG pipeline to parse, vectorize, and semantically search JSON data (FAQs, Q&A, product descriptions) using FAISS and LLMs. Ideal for building AI assistants and context-aware search.

A Streamlit-based interface that allows users to input a query and find similar items from a database using semantic search powered by OpenAI's embeddings and FAISS (Facebook AI Similarity Search)

A lightweight RAG system that lets you chat with PDF, TXT, and CSV documents using local LLMs via Ollama, semantic search with FAISS, and a Streamlit interface.