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EuroRAG

Self-hosted GDPR-first RAG chatbot boilerplate under a perpetual licence — Python-only stack, hybrid search, EU data residency enforced in code

paidSold as a perpetual licence with 12 months of updates included on every tier; the code never expires and renewal is optional. Starter is €89: the complete boilerplate with the core RAG engine and hybrid BM25 plus vector search, an OpenAI-compatible API, a streaming chat UI with citations, document upload (PDF, DOCX, PPTX, XLSX, CSV, HTML, TXT, MD), Docling extraction with tables and OCR, async processing via a Redis worker queue, authentication and sessions, security hardening, data residency tracking, Docker Compose deployment and email support; €39/yr afterwards for continued updates. Professional is €179, adding automated data connectors (folder, web crawler, Nextcloud, database), a GDPR compliance dashboard with 11 live checks, an admin panel, an audit log viewer and runtime model control; €69/yr afterwards. Enterprise is €499 (marked Coming Fall 2026) with workspaces, bulk ingestion, Google Drive, SharePoint and IMAP connectors and SSO/OIDC; €149/yr afterwards. The vendor states the stack runs on a €7/mo EU VPS.View full pricing →

About EuroRAG

EuroRAG is a self-hosted RAG chatbot boilerplate sold under a perpetual licence, aimed squarely at European agencies and internal teams who have to answer the question "where does our data go?" with something more durable than a vendor's template DPA. Every component runs on your own server — inference, vectors, database and files — and nothing leaves the VPS unless you explicitly configure it to. A Strict EU mode is enabled by default and blocks non-compliant providers before data is sent, with per-provider data residency tracking, and Mistral, Scaleway, OVHcloud or a local Ollama model can serve as the LLM. GDPR compliance is architectural rather than procedural: deletion cascades across the database, vector store, search index and disk. The stack is deliberately Python end to end — FastAPI with Jinja2 templates and HTMX for interactivity, ChromaDB or pgvector for vectors, BM25 plus vector hybrid search, and Docling with a Redis worker queue for ingestion — so a team that knows Python can modify any page without hiring a front-end developer, and there is no npm install, webpack or build step. It is sold as a starting point rather than a finished app: your changes live in a custom/ directory that core updates never touch, so you can add routes, override templates and swap services without fighting the upgrade path. One docker compose up starts five containers on any EU VPS with Docker, which the vendor benchmarks at a €7/mo Hetzner CX22.

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Key Features

Every component self-hosted — inference, vectors, database and files
Strict EU mode blocks non-compliant providers before data is sent
GDPR deletion cascades across database, vector store, search index and disk
Python-only stack: FastAPI, Jinja2, HTMX, ChromaDB/pgvector, BM25 + vector
Perpetual licence with a custom/ directory that core updates never overwrite

Tags

ragself-hostedgdprpythonboilerplate
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