sure - implementing a search-as-you-type experience with an ai-powered feature was what i wanted to do as well. it doesn't use embeddings at the moment. when you type a short query like 'openai,' it simply runs a basic query using Typesense. however, if you enter a question-like query, such as 'how to llimit api cost,' it transforms it into multiple queries, like 'budget' and 'limit.'

in the self-hosted version, it use the CHAT_COMPLETION_MODEL env variable for selecting the llm model. in our cloud version, we use a fine-tuned version of 4o-mini that we will eventually move to a smaller model like llama8b or even 1b.