TellusR is tailored to serve as a Retrieval Augmented Generation (RAG) module to enable you to seamlessly integrate its advanced retrieval capabilities with cutting-edge generative models.

TellusR provides a predefined search pipeline, tellusrRag, designed to offer relevant context for an LLM. Instead of returning the top most suitable documents, it delivers the most fitting text excerpts based on the user´s query. The retrieval parameters can be customized, such as the number of top documents to retrieve, the quantity of relevant text chunks per document, and the size of each chunk, allowing for a tailored LLM-context retrieval.