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A self-hosted RAG chatbot boilerplate
Own your RAG and LLM stack. GDPR compliance built-in.
EuroRAG is source code for building AI chatbots over your documents. Upload PDF, DOCX, or spreadsheets. Ask questions. Get answers with source citations. GDPR compliance is architectural. Deletion cascades across database, vector store, search index, and disk. Per-provider data residency tracking. Strict EU Mode blocks non-compliant providers before any data leaves your server. Audit logging of every operation. Consent management with withdrawal support. Data export for subject access requests.
Hey PH! I'm Dominykas, the developer behind EuroRAG — a self-hosted RAG chatbot you buy as source code and deploy on your own EU infrastructure.
The problem: no RAG framework out there provides architecture and tooling for GDPR compliance. "Just deploy it in the EU" isn't compliance, you need deletion cascades that actually erase data from every storage layer, audit trails, consent management, and data residency controls that block non-EU providers at the code level.
EuroRAG builds all of that into the architecture:
• Delete a user → cascades through the database, ChromaDB vectors, the BM25 search index, and files on disk. Soft-delete makes it instantly invisible; a scheduled purge makes it physically gone.
• Strict EU Mode (on by default) → blocks OpenAI, Groq, and other US-based providers before any data leaves your server.
• Audit logging on every consent change, data export, deletion, and admin operation — the event is logged, never the content.
• Hybrid search → BM25 keyword + vector similarity, fused with Reciprocal Rank Fusion.
One shared knowledge base for the whole team by default, strict per-user isolation as a config switch.
Stack: FastAPI, SQLAlchemy (async), HTMX, ChromaDB, Ollama or any EU-hosted API (Mistral, Scaleway). No React, no Node.js, no webpack, if you know Python, you can read and modify every part.
Why paid source instead of open source: the GDPR machinery, admin tooling, test suite, and docs are the product, and a perpetual license (€179 Professional / €89 Starter) is how one developer sustains maintaining it. You buy once, get every line, modify anything, ship it to your clients. The code keeps running whether or not you ever pay again.
Feel free to ask me anything.
About A self-hosted RAG chatbot boilerplate on Product Hunt
“Own your RAG and LLM stack. GDPR compliance built-in.”
A self-hosted RAG chatbot boilerplate was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #107 on the daily leaderboard. EuroRAG is source code for building AI chatbots over your documents. Upload PDF, DOCX, or spreadsheets. Ask questions. Get answers with source citations. GDPR compliance is architectural. Deletion cascades across database, vector store, search index, and disk. Per-provider data residency tracking. Strict EU Mode blocks non-compliant providers before any data leaves your server. Audit logging of every operation. Consent management with withdrawal support. Data export for subject access requests.
On the analytics side, A self-hosted RAG chatbot boilerplate competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how A self-hosted RAG chatbot boilerplate performed against the three products that launched closest to it on the same day.
Who hunted A self-hosted RAG chatbot boilerplate ?
A self-hosted RAG chatbot boilerplate was hunted by Dom. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of A self-hosted RAG chatbot boilerplate including community comment highlights and product details, visit the product overview.
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