RAG systems for enterprises.

RAG is the right choice in most enterprise cases: when information changes frequently (manuals, prices, procedures), when you need the system to cite its sources, or when the data volume is large. Fine-tuning makes sense when you need the model to adopt a very specific style or behaviour that does not change over time. For changing enterprise knowledge, RAG always wins — and it is cheaper to maintain.

Through four mechanisms: semantic chunking (splitting documents by units of meaning, not by size), result reranking with cross-encoder models, system instructions that force the model to answer only from the retrieved context, and automatic quality evaluation with metrics such as RAGAs. Dribba implements all these steps to achieve a hallucination rate below 2% in production.

PDFs (including scanned PDFs with OCR), Word and Excel documents, web pages and online documentation, SQL databases with semantic column descriptions, support tickets and conversations, source code with documentation, and any structured or semi-structured text. Dribba builds specific ingestion pipelines for each source type your enterprise needs.

A basic RAG system (single knowledge base, chat interface, no complex integrations) starts at €15,000–25,000. A complete system with multiple data sources, automatic incremental updates, admin interface and quality evaluation ranges from €35,000 to €80,000. Monthly infrastructure costs (vector DB + LLM APIs) are typically €200–2,000/month depending on usage volume.