03 RAG applications with Databricks AI
<p>This workflow demonstrates how you can visually interact with the LLM and embedding model serving endpoints of Databricks. It also showcases a <strong>RAG implementation</strong>, including <strong>vector store</strong> creation, retrieval, and prompt augmentation.</p>
URL: Create custom model serving endpoints https://docs.databricks.com/en/machine-learning/model-serving/create-manage-serving-endpoints.html
Nodes
- DB Table Selector (Labs)2 ×
- Active Branch Inverter1 ×
- DB Column Filter (Labs)1 ×
- DB Connection Table Writer (Labs)1 ×
- Show all 19 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Database
- FeatureKNIME Databricks Integration
- FeatureKNIME Expressions
- FeatureKNIME JSON-Processing
- Show all 6 modules
Links
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