🧠 Vectra: The Agentic RAG Assistant

🚀 What is Vectra?

Vectra is an Agentic RAG Assistant designed to democratize access to corporate data. It unifies structured (SQL) and unstructured (Docs) data into a single chat interface.

It relies on a powerful Tri-Hybrid Architecture:

1. Certified SQL: Runs predefined, secure SQL views for 100% accurate KPIs.
2. AI Analyst (Vanna.ai): Generates SQL on-the-fly for ad-hoc exploration.
3. Vector Search (RAG): Retrieves answers from PDF procedures and internal wikis (via Qdrant).

✨ Key Features

• Smart Routing: Automatically detects if the user needs a number (SQL) or a procedure (Vector).
• Deep Chat UI: Streaming responses, chart rendering, and source citations.
• Agnostic: Compatible with OpenAI, Gemini, and Azure OpenAI.
• Self-Hosted: Full control over your data. Docker-first architecture.

🛠️ Tech Stack

• Backend: FastAPI (Python)
• Frontend: Vue 3 + Quasar + Deep Chat
• Vector Store: Qdrant
• SQL Engine: SQL Server / MySQL (via ODBC)

⚡ Quick Start (Docker)

Get Vectra running in 2 minutes:

# 1. Clone the repo
git clone [https://github.com/HuguesGauthier/Vectra.git](https://github.com/HuguesGauthier/Vectra.git)
cd Vectra

# 2. Configure environment
cp .env.example .env
# Edit .env with your API Keys

# 3. Launch
docker-compose up -d

Access the UI at: http://localhost:9000

📜 License Vectra is open-source software licensed under the GNU AGPL v3.

💼 Commercial Use If you want to integrate Vectra into a proprietary software or a commercial SaaS product without open-sourcing your own code, you must purchase a Commercial License.

Please contact me for enterprise pricing and licensing options.