This RAG application uses an LLM to answer questions based off matching rows in a PostgreSQL database. It supports two different RAG flows: Simple RAG flow: First searches the database for a matching ...

Configuring our RAG chain. Now we will set up our RAG app itself using MLFlow with its LangChain integration. By using ML Flow, we will be able to serve our LangChain model via Databricks while also ...