Building RAG Agents with Agent Bricks
This course provides hands-on training for building retrieval agents on Databricks. Participants will learn to create Genie Agents for unstructured data, perform information retrieval with Lakebase Search, parse and transform unstructured documents into structured data using AI Functions, chunk text for semantic retrieval, and build AI Search indexes with multiple search modes.
Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.
The content was developed for participants with these skills/knowledge/abilities:
• Basic SQL knowledge for querying tables and using built-in functions
• Basic Python programming experience
• Familiarity with the Databricks workspace UI (e.g. navigating Unity Catalog)
• Understanding of Unity Catalog concepts including catalogs, schemas, and volumes
• Familiarity with fundamental LLM concepts (e.g. embeddings, retrieval-augmented generation)
• Understanding of structured vs unstructured data
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Registration options
Databricks has a delivery method for wherever you are on your learning journey
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Register nowInstructor-Led
Public and private courses taught by expert instructors across half-day to two-day courses
Register nowBlended Learning
Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
Purchase nowSkills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

