At Flowen, we believe European businesses deserve AI solutions that respect data sovereignty, privacy, and regulatory clarity — without compromising on performance.
That belief guided us when we built our AI-powered customer support chatbot using Mistral AI and Retrieval-Augmented Generation (RAG). The result is a system that delivers accurate, context-aware answers while ensuring all data stays within Europe.
This is not AI for demos. It’s AI designed for real businesses.
Why EU-First AI Matters
Most AI chatbots today are built on infrastructure where:
data residency is unclear,
compliance relies on legal workarounds,
and customer data is processed outside the EU.
For many European companies, that’s simply not acceptable.
Flowen’s approach is different:
AI should adapt to European values — not the other way around.
What the Chatbot Does
Instead of generating generic responses, Flowen’s chatbot grounds every answer in your actual business knowledge.
Smart Knowledge Retrieval
You upload your own content — documents, FAQs, product specifications, internal guides.
Before responding, the chatbot searches this knowledge base and retrieves the most relevant information.
No hallucinations.
Just answers based on your data.
Contextual Conversations
The chatbot understands conversation flow.
Ask about shipping, then follow up with “what about returns?” — it knows you’re still discussing orders. Context is preserved across turns, just like a human support agent.
Multi-Language by Design
Built for European markets, the chatbot supports:
Swedish
English
German
and additional EU languages
Customers communicate naturally, in their preferred language.
Seamless Human Handoff
When a question requires human expertise, the chatbot hands over the conversation to your support team — with full context intact. No repetition, no lost information.
The Technical Architecture
Why We Chose Mistral AI
We selected Mistral for three reasons that align perfectly with Flowen’s philosophy:
EU Data Residency
All processing stays within European borders, simplifying GDPR compliance.
High Performance
Mistral delivers GPT-4-level quality with significantly lower latency.
Cost Efficiency
Competitive pricing makes AI-powered support viable for businesses of all sizes.
RAG: The Key to Reliable AI
Large language models don’t know your business by default.
Retrieval-Augmented Generation solves this.
Our RAG Pipeline
User Question → Embedding → Vector Search → Context Retrieval → Mistral → Response
Document Ingestion
Uploaded documents are split into semantic chunks.
Each chunk is converted into an embedding using Mistral’s embedding model and stored in PostgreSQL with the pgvector extension.
Intelligent Retrieval
When a question is asked:
the query is embedded,
a similarity search is performed,
and the most relevant chunks are selected as context.
Grounded Generation
Mistral receives both:
the user’s question, and
the retrieved context.
The system prompt strictly instructs the model to answer only based on that information — dramatically reducing hallucinations.
The Stack
Our implementation is built on:
Next.js — Full-stack React framework
Mistral AI API — Embeddings and chat completions
PostgreSQL + pgvector — Vector storage and similarity search
Prisma — Type-safe database access
Key Code Patterns
Embedding Generation
const response = await mistral.embeddings.create({
model: 'mistral-embed',
inputs: [text]
})
return response.data[0].embedding
Vector Similarity Search
SELECT content,
1 - (embedding <=> $1) AS similarity
FROM knowledge_chunks
WHERE team_id = $2
ORDER BY embedding <=> $1
LIMIT 5;
Context-Aware Prompting
const systemPrompt = `
You are a helpful customer support assistant.
Answer questions based ONLY on the following context.
If the answer isn't in the context, say you don't know.
Context:
${relevantChunks.join('\n\n')}
`;
Early Results
Initial deployments show strong results:
70% reduction in average response time
85% accuracy on questions covered by the knowledge base
Zero customer data leaving EU borders
What’s Next
We’re continuing to expand the platform with:
Automatic knowledge base updates from existing support tickets
Analytics dashboards highlighting common questions and knowledge gaps
Voice support for phone-based customer service
Integration APIs for embedding the chatbot into existing tools
Try It Yourself
The chatbot is available as part of Flowen’s business management platform.
👉 Request a demo or start your free trial at flowen.eu
