Intelligent Knowledge Management with RAG: A Building Block for the Future

Every company has knowledge—in documentation, wikis, manuals, or project documents. The real challenge lies in finding the right information exactly when it’s needed.

Driven by this need, we’ve developed an intelligent knowledge management system based on Retrieval-Augmented Generation (RAG). Instead of time-consuming searches, the system delivers context-aware answers directly from existing knowledge sources.

The technical foundation consists of Llama 3.1 via Ollama, ChromaDB as a vector database, and FastAPI as an interface—all running entirely on-premises in our IBM i / POWER10 environment. No cloud required.

This is a decisive advantage, especially for companies with high data protection requirements and on-premises operations: The data remains in-house, while the AI intelligently taps into existing knowledge.

For us, this knowledge management is just the beginning. It serves as a key building block for additional AI functionalities we’re currently developing—with the goal of making day-to-day work easier for companies and helping them better leverage the potential of their existing information.

Interested in learning more? Feel free to reach out to us.