01
G-LLM orchestration
and prompt engineering
Pryon Generative Engine gives developers the flexibility to choose a public, custom, or Pryon-developed LLM.
Pryon Generative Engine is further customizable, enabling developers to define when and how to use the retrieval and generative elements of the Pryon RAG Suite. For example, developers can prompt the LLMs with custom context and information to ensure high quality outputs.
03
User feedback
The best way to ensure users receive accurate, helpful, and relevant responses is to collect feedback. Pryon Generative Engine enables developers to let users rate a response with a simple and intuitive “thumbs up/thumbs down” reaction.
Content experts and subject matter experts (SMEs) can review these reactions and take appropriate action — for instance, by feeding new and updated content to the Ingestion Engine.
Pryon Retrieval Engine has out-of-domain detection, so it knows when a query is asking for irrelevant information. Pryon Generative Engine then intelligently tells the user that it can’t answer the question, instead of making up (hallucinating) a response.