LLM-Tools-Functions

AI systems require diverse capabilities to answer business use cases and provide values within each industry.

In this demo, we will build a Compound AI System composed of multiple tools (Unity Catalog Functions) and reasoning agents. A tool typically fetches extra information or executes a computation, such as:

• Getting the latest customer order status (to answer questions related to an online order)
• Getting the current weather
• Calling external Machine Learning model for recommendation
• Call a Vector Search Index to find relevant information/documents to provide better answers (RAG)
• Executing specialized routine/LLM queries with specialized prompts or fine-tuned model
• Execution python script
• Mathematical operation

Install this demo to discover step-by-step instructions on how to build your first Compound AI System!

To run the demo, get a free Databricks workspace and execute the following two commands in a Python notebook:

%pip install dbdemos

import dbdemos
dbdemos.install('llm-tools-functions', catalog='main', schema='dbdemos_agent_tools')