DocuMancer AI - Overview

🎯 Let's Build an AI-Powered Chatbot with RAG — Introducing DocuMancer AI

DocuMancer AI — an open-source AI chatbot that reads your Markdown documentation and answers questions about it using the power of RAG (Retrieval-Augmented Generation).

Whether you're building an internal support tool, documentation assistant, or a smart chatbot for your team, this project shows you how to build one from scratch using your own docs and modern AI tools.

📁 How It Works

RAG combines two powerful techniques:

• Retrieval: It searches for the most relevant documents from your Markdown files.
• Generation: It passes that info to an LLM (like GPT) to generate an accurate answer.

Instead of training a new model, we plug your docs into GPT, helping it answer smarter.

For this, we’re using:

• LangChain to orchestrate the RAG workflow
• FastAPI for building a backend API
• React to create a friendly frontend UI
• Azure OpenAI or any LLM provider to answer questions
• huggingface/sentence-transformer for text embeddings
• FAISS to store and search your document chunks efficiently

🛠️ Step-by-Step: Building DocuMancer AI

1. Prepare Your Docs

Create a docs/ folder in your GitHub repo. Put your .md files there. These are the files the chatbot will learn from.

2. Clone the Chatbot Backend

Clone the provided rag_chatbot folder and add it to your project.