#rag

#rag

Basic RAG performed well for general topics but struggled with questions involving time, like identifying workshops next month, due to lack of metadata filtering.

While my Gen AI chatbot significantly improves document searching efficiency, I wonder if it can truly compete with the pricing and performance of established solutions like Amazon Q.

As a conversation designer, it's important to understand some of the techniques used to optimize large language models (LLMs).

Chunking the content involves breaking down materials into smaller, manageable pieces, allowing language models to process and retrieve relevant information efficiently for generating responses.