Chatbots aren’t new, but good chatbots have arrived, thanks to AI services. However, their knowledge can lag if their databases aren’t updated frequently. The trouble is, updating a large language model (LLM) takes time and resources. Now, we can use retrieval-augmented generation (RAG) to update our LLM faster, resulting in a savvier chatbot.
The purpose of this solution is to teach you how to implement a RAG chatbot using vector similarity search in Oracle Database 23ai and Oracle Cloud Infrastructure (OCI) Generative AI. This tutorial will show you how to transform raw documents into structured data, store them efficiently, and use advanced AI models to generate contextual responses.