Multi‐agent legal RAG based chatbot using LangChain, Pinecone, Docling, Hugging Face

JanaVedhi is a unified digital governance platform that combines AI, blockchain, and civic technology to enhance citizen participation, transparency, and trust by offering tools for participatory budgeting, fund tracking, grievance mapping, and secure, verifiable voting.

A legal chatbot project built as a practical application of NLP and conversational AI. Designed to understand and respond to legal queries using natural language processing techniques. Includes dataset preparation, model training, and a simple interactive interface, all in Python.

An AI Chatbot for simplified Indian Penal Code (IPC) explanations (Sections 121A-511) using RAG with Ollama (Llama 3.1) and Streamlit.

This project uses Retrieval-Augmented Generation (RAG) to help users quickly understand legal documents. Simply upload a contract, agreement, or policy and ask questions—our AI retrieves the most relevant clauses and explains them in plain language.

Saul Botman is a RAG based generative AI attorney chatbot that is trained using Indian Penal Code data. This project was developed using Streamlit, LLaMA LLM and Google AI embeddings.