This workflow demonstrates how you can visually interact with the LLM and embedding model serving endpoints of Databricks. It also showcases a RAG implementation, including vector store creation, retrieval, and prompt augmentation.
Workflow
03 RAG applications with Databricks AI
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.5.0
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