Search and Retrieval Augmented Generation (RAG)
TellusR is a strong search and Retrieval Augmented Generation (RAG) module in your architecture.
Improve relevance and performance
The TellusR AI search comes with a RAG Dashboard that allows you to tune the LLM context, tune the prompt and integrate with your preferred LLM through a GUI.
In this context TellusR AI search will do Retrieval Augmented Generation (RAG). This is an important technique improving the performance and relevance of generative AI models.
Generative AI with higher accuracy
AI Search and generative AI are highly complementary, in fact a good search is the foundation of a working AI.
When using a Generative AI for company specific purposes, RAG will search through the internal data sources and provide the most contextually relevant results to the generative AI application.
When applying the Generative AI application on the contextually relevant search results, the end results will be presented with higher accuracy than for standalone Generative AI or conventional chat bots. This is why TellusR is the first step in your AI strategy.
What can be improved?
TellusR makes it easy to integrate it with your preferred LLM and to change it or run several in parallel. ChatGPT was the best known LLM in 2023, but there are plenty of others available.
They have different capabilities, like speed, domain, quality and cost levels. In 2025 you consider several in your set up. TellusR or one of our partners can also help you evaluate which one is most suitable for your needs and implement it accordingly.
Customer story: Find relevant information in many and complex documents
Fritzøe Engros is one of Norway’s largest building materials companies. The company uses TellusR’s AI-based search and chat technology to make product information more accessible.
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