Summary
The Kentucky Agricultural Extension Program, part of the University of Kentucky College of Agriculture, Food, and Environment (CAFE), is designed to extend resources, services, and research-based knowledge to farmers, communities, and families across the commonwealth. Working in collaboration with these statewide entities, we have a platform that helps users across the commonwealth find relevant information, navigate the CAFE website and publications, and provides answers to questions conversationally.
This is possible thanks to recently developed platforms leveraging RAG techniques. We can easily create vector datastores from papers, webpages, and data sets and retrieve the nearest semantically related and contextually relevant documents for a particular search query. The LLM can then use these records to enhance the prompt by giving it the relevant context needed to answer queries in a fashion that is consistent with the information stored in the vector datastore.
Datasets/Models
The knowledge base of this model was informed by the University of Kentucky’s College of Agriculture, Food, and Environment website and publication database.
This application is supported by LLM Factory, the base model being used in Llama 3 8B
Email ai@uky.edu for more information.
Access
A demo is available: https://blue.ai.uky.edu
Ownership
This project is still in development.
Resources Consumed
Mitchell Klusty, Sam Armstrong, and Rowan Hallock worked on this project.