pineconedb

I built a fake luxury store. But the AI inside it is very real. It's called LUXE.

Getting started with RAG system using Langchain in Node.js. This project uses OpenAI for embedding and Pinecone for Vector DB.

A movie recommendation system built with entity extraction and graph-based querying — results shown via terminal output.

A Retrieval-Augmented Generation (RAG) system for semantic search over PDF documents, powered by Pinecone vector database.

This project is a RAG-based AI chat application using LangChain and OpenAI, featuring codebase analysis and a hierarchical file structure visualization for GitHub repositories.

Developer's collaborative & learning platform designed for individual academic institutions (universities/colleges).

A full-stack ChatGPT Clone built with the MERN Stack, featuring real-time AI conversations, secure authentication, and Google Gemini API integration for intelligent responses.

This is Document Querying Chatbot which can chat with documents on given prompts

🤖 QuickGPT is a fast, AI-powered chatbot that lets you have interactive, real-time conversations. 💬⚡

An AI research assistant that lets students, scholars, and researchers upload academic papers and understand them in their own Indic language.

AI-powered RAG assistant with voice and text interaction for intelligent document-based conversations using Gemini, LangChain, and Pinecone.

Prepverse.AI is an AI-powered internship discovery and preparation platform that parses resumes, smart internship recommendations, and sends real-time email and WhatsApp alerts. It also offers AI mock interviews, resume optimization, and quizzes to help students prepare for opportunities.

A web application built with Next.js that uses LLMs to evaluate resumes against job profiles and generate relevance scores. These scores, along with the job data, are stored in a Pinecone vector database. When a candidate search is performed, the system ranks resumes based on their match scores to the given profile.

RAG using langchain

A Multimodal AI Memory Archive that preserves human personality using Hybrid RAG (Gemini + Llama 3) and Vector Embeddings. "To live in the hearts we leave behind is not to die."

AI-powered RAG codebase auditor using Gemini 2.5 & Pinecone for instant code understanding and reviews.

A comprehensive AI-powered market research platform that allows users to upload financial documents and analyze them using advanced AI technology. The platform consists of a Node.js backend with AI integration and a modern Next.js frontend.