databricks-genai

What problem does it solve?

This Skill empowers users to build, deploy, and optimize Generative AI and LLM applications specifically on the Databricks platform, streamlining complex AI workflows.

Core Features & Use Cases

• Foundation Models & Serving: Access and deploy various LLMs, including Databricks' own and external providers.
• Vector Search & RAG: Implement efficient retrieval-augmented generation pipelines.
• AI Gateway & Governance: Ensure secure, governed, and cost-effective LLM usage.
• Agent Framework: Develop intelligent agents capable of tool use and function calling.
• Use Case: A data scientist wants to build a RAG application to answer questions about their company's internal documentation. They can use this skill to set up vector search, integrate an embedding model, and deploy the application as a scalable API endpoint on Databricks.

Quick Start

Use the databricks-genai skill to help me set up a RAG application using Databricks Vector Search and Foundation Model APIs.