As this technology continues to develop, helpful optimizations that can aid accuracy and consistency have been developed in parallel. Firstly, a very commonly sought feature is to enable the transformer model to display direct citations from the knowledge database, showing the embedding matches it found and used to generate its response. This allows the user to see exactly what the “relevant” information was added for context.

preprocessing user queries before they are used in a semantic search can be very helpful for obtaining useful results. Oftentimes, preprocessing libraries will handle any contradictions, spelling, and remove words that do not carry significant meaning in order to improve clarity and conciseness while still conveying the original request. An alternative to preprocessing prompts is to provide users with a prompt library. Having custom and well thought out prompts easily accessible can help ensure that the system receives thorough instructions so that responses remain as accurate as possible.