This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

All the components of the application (knowledge base, context retrieval, prompt enhancement LLM) are running within CML. This application does not call any external model APIs nor require any additional training of an LLM. The knowledge base provided in this repository is a slice of the Cloudera Machine Learning documentation.
Learn more at cloudera.com