#faiss

AI-powered Resume Intelligence Platform that analyzes resumes using RAG, LangChain, FAISS, FastAPI, Next.js, and Google Gemini.

AI agent that answers questions about YouTube tutorials and your own codebase — available as a Chrome extension, desktop app, and web app.

Production-grade semantic caching for LLM applications using classifier-validated equivalence, cross-encoder verification and risk-aware cache policies.

An Agentic AI chatbot with RAG, short-term and long-term memory, AI security guardrails, web search, human-in-the-loop workflows, and a LiteLLM gateway powered by LangGraph & FastAPI.

Document-Driven Aviation RAG Assistant built using FastAPI, FAISS, BM25, Gemini API, and Streamlit. Provides grounded answers from aviation manuals with citations, hallucination prevention, and hybrid retrieval.

AI-powered PDF Question Answering Chatbot using RAG and Mistral AI

Reproducibility materials for: A Multi-Source RAG Framework for Intelligent Agent Orchestration in Enterprise CRM Systems (IEEE Access 2026)

Enterprise-grade Retrieval-Augmented Generation (RAG) chatbot with FastAPI, React, FAISS, Gemini/Ollama, PostgreSQL, Redis, JWT authentication, RBAC, and semantic document search.

Retrieval-Augmented Generation chatbot that answers questions from PDF documents with source citations and evaluation.

Production-ready AI Coding Agent built with LangGraph, Groq, Code RAG, Tool Calling, FAISS, Tree-sitter, and Docker. Supports code understanding, retrieval, editing, terminal execution, and debugging.

Context-aware RAG chatbot built with LangChain, FAISS, and Groq (Llama 3.3), deployed with Streamlit. Retrieves answers from a vectorized Wikipedia knowledge base and remembers conversation history.

A retrieval-based medical Q&A system that gives accurate answers to diabetes-related questions by searching a curated medical knowledge base instead of generating text from scratch. Built with a hybrid FAISS + BM25 retrieval pipeline, cross-encoder reranking, and multi-layer safety gating and served through a Streamlit web app.

Multimodal RAG + Agentic AI research paper analyser — summarisation, vision figure analysis, grounded Q&A, and 4-source literature comparison. Built with LangGraph, FAISS and Groq.

Retrieval-Augmented Generation (RAG) chatbot using FAISS, Transformer embeddings, and semantic search.

Hands-on LangChain experiments for building LLM-powered applications using Prompt Engineering, Retrieval, Memory, and Agents.

AI-powered PDF chatbot using RAG, React, FastAPI, FAISS, and LLMs. Upload PDFs, ask questions, search documents, and get AI-generated answers with source citations.

AI-powered e-commerce assistant using Gemini, RAG pipeline, FAISS vector search, and Streamlit for interactive product recommendations.

A fully local, zero-cost RAG chatbot for mac.du.ac.in — built with FAISS, Llama 3.2 3B, FastAPI, and React. CPU-only, 8GB RAM, zero cloud dependency.

RAG chatbot that indexes your PDFs, DOCX & TXT files and answers questions with cited sources — powered by Groq + FAISS + LangChain

Identify bird species from images along with audio and explore them with AI-powered insights.

An AI-powered YouTube Q&A system that lets users chat with video content using RAG pipelines, LangChain, FastAPI, and vector search.

HarryBot is a retrieval-based chatbot that answers Harry Potter questions using FAISS vector search, conversational memory, similarity thresholding, and a Streamlit interface.

Enterprise Agentic AI Platform for autonomous pipeline monitoring, root cause analysis, incident retrieval, data quality validation, and self-healing workflow orchestration using LangGraph, FAISS, Vector Search, and Python.

Chat with your PDF documents using RAG. Built with LangChain, FAISS vector store, Groq LLM, and Streamlit. Every answer cites its source.

A PDF Question Answering chatbot built with LangChain, FAISS, Hugging Face, and Streamlit using RAG

AI-powered document Q&A system using RAG, LangChain, and OpenAI API

An AI chatbot built with Streamlit, LangChain, Google Gemini, Groq, and FAISS featuring conversational AI and intelligent PDF question answering.

Flowise-based multi-agent AI orchestration system using RAG, OpenAI embeddings, FAISS vector search, and sequential agent workflows for retrieval-grounded content generation and enterprise AI pipeline design.

RAG-powered IT support assistant. Upload PDF documents and ask questions. Built with Python, OpenAI API, FAISS, and Streamlit.

JEE Main / JoSAA college recommendation system. Enter your rank and category, get eligible college-branches banded safe / moderate / dream, each with a predicted closing rank and a calibrated admission probability. Grounded counsellor chatbot, similar-college retrieval, and a downloadable PDF report. FastAPI + LightGBM + React.

🧠 HireGraph — AI-powered multi-signal candidate ranking engine | INDIA.RUNS Hackathon 2026 | Beats keyword filters using semantic embeddings + career trajectory + behavioral intelligence

A modular YouTube RAG chatbot built with LangChain, FAISS, Hugging Face, and Qwen. Retrieves relevant transcript chunks to generate accurate, context-aware answers.

Query Apple, Microsoft, and Tesla 2025 SEC filings and live web data using this hybrid RAG chatbot built with LangChain, FAISS, and Streamlit.