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IAToolkit

Project description

IAToolkit

The Open-Source Framework for Building AI Assistants on Your Private Data

Website | Full Documentation | Quickstart Guide

IAToolkit Demo


✨ Why IAToolkit?

IAToolkit is more than a framework — it's a complete foundation for building enterprise-grade AI assistants capable of understanding your proprietary data, automating workflows, and integrating seamlessly with your existing systems.

Whether you’re building a production chatbot for your company or learning how real AI applications are architected, IAToolkit gives you everything you need to build secure, production-grade assistants — from data access, multi-tenant architecture, and tool execution to prompt orchestration, semantic search, and full UI integration — all powered by a clean, extensible Python API.


🔌 Connect to Anything

Build AI assistants that truly understand your business.

  • Connect to SQL databases (PostgreSQL, MySQL, SQLite)
  • Query structured data using natural language
  • Perform semantic search on PDFs, DOCX, TXT, XLSX
  • Works as a full RAG engine out-of-the-box

🏢 Multi-Tenant by Design

Ideal for SaaS, agencies, consultancies, or large enterprises.

  • Isolated Company Modules
  • Each company defines its own:
    • data sources
    • prompts
    • custom tools
    • branding + UI theme
  • Clean separation for multi-client deployments
  • Perfect for scaling from 1 to 100 customers
  • Configure everything using simple YAML

🧩 Extensible & Provider-Agnostic

Customize every layer and keep full control.

  • Add custom tools the LLM can call (SQL, API, Python functions)
  • Swap between OpenAI (GPT), Google Gemini, or future models
  • Built on dependency injection for maximum modularity
  • Extend prompts, dispatchers, services, and LLM clients effortlessly

🛡️ Built for Production

Designed for real-world systems — reliable, maintainable, and scalable.

  • Integrated authentication and session handling
  • Secure secret management via environment variables
  • Detailed logging of prompts, tool calls, and token usage
  • Structured architecture with 90%+ automated test coverage
  • Clean separation of UI, business logic, and LLM orchestration
  • Runs anywhere: local machine, docker, cloud, serverless

🎓 Learn How Real AI Applications Are Built

IAToolkit is also an excellent learning resource:

  • Understand how to orchestrate multiple LLM calls
  • Learn how tools, SQL, vector search and prompts interact
  • Explore a complete architecture for real AI products
  • Use the Sample Company demo to practice building AI assistants
  • Perfect for developers, students, and teams exploring enterprise AI

🚀 Getting Started in 3 Minutes

Get your first AI assistant running locally by following our "Hello World" example. Our detailed guide will walk you through setting up your virtual environment, configuring your .env file, and launching the application.

➡️ Start the Quickstart Guide

📚 Documentation

Our documentation is designed for users of all levels, from initial setup to advanced development.

Guide Description
🚀 Quickstart Guide The fastest way to install, configure, and run IAToolkit for the first time.
⚙️ Companies & Components A deep dive into the company.yaml file, the core of all configuration.
💻 Programming Guide Understand the internal architecture, services, and design patterns to extend the framework.
☁️ Deployment Guide Learn how to deploy your IAToolkit application to a production environment.
🗃️ Database Guide An overview of the core database schema used by the IAToolkit framework itself.

➡️ Explore all documentation

🤝 Contributing

We welcome contributions of all kinds! Whether it's a new feature, a bug fix, or an improvement to the documentation, your help is appreciated. Please read our Contributing Guide to get started.

📄 License

IAToolkit is open-source software licensed under the MIT License.

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