A production-grade AI Digital Twin built from scratch. Features an evolutionary architecture: starting from raw RAG & Memory experiments, evolving into an Agentic Workflow with Tool Calling with a Streamlit UI. Powered by LangChain, OpenAI, and ChromaDB.
contextops
Shodhak - an AI-powered research assistant that helps you analyze and ask questions about multiple online articles simultaneously.
A complete, structured, hands-on LangChain playlist covering everything from LLMs & embeddings to chains, runnables, retrievers, vector stores, tools, and RAG systems. This repository is designed to help you learn LangChain practically, step by step, with clean Python scripts and Jupyter notebooks.
Retail_QandA_Tool is an AI-powered Natural Language to SQL system for AtliQ Tees. It allows store managers to query inventory, sales, and discount data using simple natural language.
RAG application based on ayurvedic text Ashtang Hridayam
🧠 AI-powered Standard Operating Procedure (SOP) interpreter with voice-first interaction, Knowledge Graph intelligence, and RAG technology. Transform complex procedures into conversational AI assistance using React, FastAPI, Neo4j, and Groq LLM.
An AI-powered document search engine that connects to Notion and Google Drive. Uses LangChain4j, OpenAI embeddings, and ChromaDB to provide semantic search and natural language RAG answers.
Local Retrieval-Augmented Generation (RAG) pipeline using LangChain and ChromaDB to query PDF files with LLMs.
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