⚡️Framework for fast persistent storage of multiple document embeddings and metadata into Pinecone for source-traceable, production-level RAG.

These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.

These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.

A product knowledge base powered by Pinecone API and Anthropic AI Copilot

A GenAI-powered chatbot for an ecommerce clothing store that answers user queries, provides recommendations, tracks orders and more.

AnimeGen is an AI-powered tool that takes a written story as input, automatically splits it into meaningful scenes, and generates anime-style images for each scene. It then displays these images in a slideshow, creating a visual storytelling experience.

MediCare-Bot provides clear, reliable health information by combining trusted medical sources with smart search and AI. It makes medical queries easy to understand and accessible for everyone.

The goal of this application is to generate suggestions based on the given resume of the candidate, store the candidate profile in Pinecone database, and shortlist candidates accroding to the skills matched with match score.

Talk to YouTube videos

Full-stack AI-powered study assistant built with RAG, Gemini, and Pinecone.

RAG Pipeline & Chatbot – A production-ready Retrieval-Augmented Generation (RAG) workflow built with n8n, OpenAI, and Pinecone. It transforms scattered documents into a conversational knowledge base, enabling real-time, context-aware Q&A.

Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.

This is a complete personalize Chatbot with responsive front end.

Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.

Docsy - Your friendly AI-powered PDF companion. Upload, chat, and navigate documents intelligently with instant citations.

Movie Recommendation System: A content-based recommendation platform built with Python, Pinecone, and Streamlit. The system provides personalized movie suggestions based on genres and metadata, allowing users to explore tailored recommendations. With interactive genre filtering & clean interface, the app enhances movie discovery , hosted on render.

An AI medical chatbot using LLMs, LangChain, and Pinecone, with a Flask backend deployed on AWS.

NoteCraft is a full-stack web app built with Django, Celery, and Next.js that lets users upload academic PDFs, generate AI-powered notes, and retrieve relevant content using RAG. It's optimized for long documents, supports async processing, and runs fully containerized with Docker.

Paper-Whisper is a full-stack web application that allows users to upload PDF documents and interact with them through natural language. Powered by LangChain and OpenAI's GPT models, it transforms static documents into dynamic conversations.

End-to-end RAG automation built with n8n, Ollama (local LLMs), and Pinecone. Automatically ingests documents, generates embeddings, stores vectors, and enables context-aware AI chat.