🧠 BuddyRAG – RAG Chatbot for Markdown Documents

Tired of searching for information in your Obsidian vault (or something like that)?
Me too. That’s why I built this!

Welcome to BuddyRAG – an AI-powered RAG chatbot that lets you upload a Markdown (.md) document and interactively chat with it through a simple web interface.

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🚀 Features

• 💬 Conversational Interface: Ask questions and get contextual answers from your uploaded .md file.
• ⚙️ Runs Locally: Hosted on http://localhost:8501 using Streamlit – no cloud setup required.
• 🧠 RAG Architecture: Uses Retrieval-Augmented Generation to provide accurate, document-grounded responses.
• 🧠 Customizable Models: Choose your preferred embedding and LLM models via the docker-compose.yml file. Defaults:
  • LLM model: llama3
  • Embedding model: nomic-embed-text

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✏️ BuddyRAG Architecture

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📦 How It Works

1. Upload a .md file: Place your file into the input_files folder. They will be added to weaviate.
2. The chatbot ingests the document and builds a searchable knowledge base.
3. You can now ask questions and receive answers directly from the content of your file.

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🖥️ Getting Started

Installation

First, clone the project (git clone)

Then, start the Docker container:

docker compose up -d

Open your browser and go to:

http://localhost:8501

🧪 Tested Specs

Tested on a standard machine (baseline specs):

• CPU: Intel(R) Core(TM) i5-8350U @ 1.70GHz

• RAM: 16 GB

• Disk: ≥ 20 GB