What is a RAG Chatbot?
A RAG chatbot (Retrieval-Augmented Generation) is an AI system connecting large language models with your own knowledge base. Instead of relying on generic training data, the system retrieves the most relevant information from your documents for each query, eliminating hallucinations.
How We Build Your RAG Chatbot
01
Data Source Analysis
Inventory of your documents, databases, and APIs.
02
Embedding & Vector Database
Transform documents into semantic vectors and build a vector database.
03
LLM Integration & Prompt Engineering
Integration with GPT-4o, Claude, or LLaMA with optimized prompts.
04
UI / API / Chat Interface
Development of a user-friendly chat interface or REST API.
05
Testing, Training & Go-Live
Comprehensive testing, staff training, and monitored go-live.
What Does a RAG Chatbot Cost for SMEs?
| Model | Duration | Investment | Ideal for |
|---|---|---|---|
| Starter RAG Chatbot | 2–3 Wochen | 8.000–15.000 € | Interne Wissensdatenbank, HR-FAQ |
| Business RAG Chatbot | 4–6 Wochen | 15.000–30.000 € | Kundenservice, Vertriebsunterstützung |
| Enterprise RAG System | 6–12 Wochen | 30.000–60.000 € | Multi-Source, CRM/ERP Integration |
| SaaS / Monatliches Abo | Laufend | ab 1.500 €/Monat | Managed Service inkl. Updates |
Why LSI Analytics for Your RAG Chatbot?
Proven RAG architecture from enterprise projects
Full GDPR compliance – German Azure data centers
Supports GPT-4o, Claude, LLaMA 3 & private models
Integration with SharePoint, Confluence, SAP, Salesforce & more
Multilingual: German, English and more
Proven ROI: 60-90% less support effort in past projects