Agent embedding models

Embedding models convert text into vectors so your Agent can retrieve relevant knowledge chunks during responses.

In Budibase, embedding model configuration is part of the AI Configs area and is used with Agent Knowledge settings.

Configure an embedding model

1. Open Workspace Settings
2. Go to AI Configs
3. Click Embeddings section
4. Scroll to Embeddings model
5. Click Add configuration
6. Provide the required provider credentials and model details
7. Save and verify the configuration appears in the list

Attach an embedding model to an Agent

1. Open your Agent
2. Go to the Knowledge tab
3. Select an Embedding model
4. Save the Agent

When both embedding model and vector database are configured, additional retrieval settings are available:

• Minimum similarity
• Chunks to retrieve

Practical guidance

• Start with default retrieval settings, and tune only after testing
• Once you choose an embedding model, use it consistently for all documents and queries in that knowledge base
• Re-test retrieval quality whenever you change the model or provider configuration

Related guides

• Agent vector databases
• Agent testing guide
• Agent troubleshooting