Knowledge chatbot using Agentic Retrieval Augmented Generation (RAG) techniques. Full-stack proof of concept built on langchain, llama-index, django, pgvector, with multiple advanced RAG techniques used.

Knowledge chatbot using Agentic Retrieval Augmented Generation (RAG) techniques. Full-stack proof of concept built on langchain, llama-index, django, pgvector, with multiple advanced RAG techniques used.

Secure RAG-powered internal knowledge chatbot built with Django REST Framework, FAISS vector search, and self-hosted LLM. Features role-based access, chat history with confidence scores, explainable citations, and SvelteKit UI. Eval: 100% precision, zero hallucinations. Full-stack MVP for company AI assistants.

Knowledge chatbot using Agentic Retrieval Augmented Generation (RAG) techniques. Full-stack proof of concept built on langchain, llama-index, django, pgvector, with multiple advanced RAG techniques used.

Multi-agent LangGraph Chatbot for hospitals - Django based web application. Leveraging LLM, Knowledge Graph, Multi-agent architecture, RAG.

Multi-agent LangGraph Chatbot for hospitals - Django based web application. Leveraging LLM, Knowledge Graph, Multi-agent architecture, RAG.

LangChain‑RAG‑Chatbot - A full‑stack Retrieval‑Augmented Generation (RAG) chatbot using LangChain, Django, and React. Upload documents, query your knowledge base, and get AI responses grounded in your content. Supports multiple LLM providers and semantic search with FAISS.

An intelligent RAG (Retrieval-Augmented Generation) chatbot built with Python, Django, and LangGraph. Features a custom knowledge base, LLM-based quality control, and a clean web UI

Full-stack service desk application with RAG AI chatbot, ticket management system, knowledge base retrieval, and role-based dashboards built with React, Django REST Framework, and PostgreSQL.

Converso is a chatbot creation platform that empowers users to build intelligent, domain-specific chatbots using Retrieval-Augmented Generation (RAG). Developed with Django, the platform allows authenticated users to upload documents (PDFs or URLs) to generate a personalized knowledge base

Converso is a chatbot creation platform that empowers users to build intelligent, domain-specific chatbots using Retrieval-Augmented Generation (RAG). Developed with Django, the platform allows authenticated users to upload documents (PDFs or URLs) to generate a personalized knowledge base.

MANUU AI Chatbot is an intelligent conversational assistant for MANUU students and staff that combines NLP pipelines, a Django backend, a RAG knowledge layer, and Gemini AI for fluent, context-aware answers — available via web and mobile.

RAG-based chatbot that retrieves data from a local knowledge base (using Langchain for retrieval) and generates responses using an open-source LLM like GPT-J, GPT-Neo, or Bloom, all powered by Django Rest Framework and Streamlit for the frontend.

RAG-based chatbot that retrieves data from a local knowledge base (using Langchain for retrieval) and generates responses using an open-source LLM like GPT-J, GPT-Neo, or Bloom, all powered by Django Rest Framework and Streamlit for the frontend

A production-grade AI chatbot that can automatically learn from any website and custom data, and then answer user questions based only on that knowledge — without hallucinating. This project implements a Retrieval-Augmented Generation (RAG) pipeline using Qwen-3, E5 embeddings, ChromaDB, and Django REST Framework. It works like a private ChatGPT.