Answer questions with RAG (retrieval augmented generation)

This application uses Retrieval Augmented Generation (RAG) to answer questions based on provided queries. RAG combines traditional search with AI to generate answers by retrieving relevant documents and using them to inform the response. Enter your query and parameters, and click Submit to get an answer.

Enter the path for the search location.
Set the maximum number of results to return (default is 10).
Set the maximum number of pages sent to the AI (default is 5).
Check to order results by embedding similarity.
Check to preprocess the query to have the AI generate keywords from the query for better results.
Enter your query here.