Building an LLM-powered AI consultant with state-of-the-art RAG
I’m building a custom solution for querying a very large food and agriculture knowledge base containing thousands of articles and research papers. Users can gather information using natural language queries and retrieve the most relevant responses using a state-of-the-art Retrieval-Augmented Generation (RAG) framework.