Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot

A detailed blueprint is provided for building a personal, agentic, and self-hosted chatbot platform that supports multiple users. The system architecture uses a Python application, a Streamlit frontend, Minio for storage, Postgres for data and vectors, Ollama for local models, and RabbitMQ for background processing. Users can upload files, which are then chunked, embedded, and stored securely with specific access permissions. The agent, built with LangGraph, can then autonomously use tools like vector search to access only the files the user has permission to view, ensuring privacy and providing context-aware answers.