Explore the usefulness of RAG in the federated wiki. Nik Ivancic is interested. It might help folks learn to use the hidden capabilities of the fedwiki. Nik suggests starting HERE .
See original paper as PDF
>It will be interesting to hear what Peter thinks about this.
Retrieval augmented generation (RAG) is a type of generative artificial intelligence that has information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents
https://en.m.wikipedia.org/wiki/Retrieval-augmented_generation
HEIGHT 500
Wikipeida