White paper:
Local LLM with RAG
Why local language models are becoming increasingly attractive for businesses and how you can build your own LLM with RAG (retrieval-augmented generation).
Contents of the white paper
Run AI yourself instead of sourcing it from the cloud – this white paper shows how companies can build powerful, privacy-compliant assistance systems using local open-source LLMs and a RAG architecture. It is aimed at teams that want to keep control of their AI strategy and are willing to invest in a robust infrastructure to do so.
What you can expect in our white paper
What can local LLMs achieve in combination with RAG – and what are the prerequisites? How does searching with vector databases work, and what is important when it comes to data preparation, chunking, and embeddings? In our white paper Local LLM with RAG we provide practical insights into the basics, challenges, and possible applications of this architecture – including use cases and recommendations for getting started.
Local LLM with RAG
Download our white paper here. You don't need to provide an email address; just click on the button to receive the white paper immediately. If you have any questions or need assistance in creating your own AI with LLM and RAG, please feel free to contact us.The white paper is only available in German, at the moment.