This is a similar to our locally server MISTRAL LLM query. Rather than use a local Mistral LLM program it uses Openai’s cloud based gpt-4o-mini LLM model, again with our mahamudra RAG store that has been developed to respond to changing mental states in the questions and the training texts.

Recently for RAG, we have been exploring the use of decription vectors in carefully designed AI prompts which give a set of parameters that characterise mental states and transitions – differential mental states.

We have used mistral embedder along with specially designed prompts to process some 500 hours of transcripts of Buddhist study and practice sessions, together with analysis of selected core mahamudra and other Buddhist text

The form below gives access access to our ‘proof of principle’ RAG-AI server using the online gpt-4o-mini model from OpenAI.

As with the local LLM server this cloud based on is very mahamudra centric. If you ask it a question you will soon see what I mean. Try and make your questions a bit openended.