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Weaviate Connection

Connect Weaviate for vector search with built-in ML models.

Required Credentials​

  • URL (Weaviate instance URL)
  • API Key (optional)

Setup Steps​

Weaviate Cloud Services (WCS)​

  1. Go to Weaviate Console
  2. Create a cluster
  3. Copy the cluster URL
  4. Generate an API key if needed
  5. Add credentials to your Workflow Builder connections

Self-hosted Weaviate​

  1. Deploy Weaviate using Docker or Kubernetes
  2. Use format: http://host:8080
  3. Add URL to your Workflow Builder connections

Features​

  • Create schemas and classes
  • Add objects with vectors
  • Semantic search with AI
  • GraphQL queries
  • Batch operations

Best Practices​

  • Design your schema before adding data
  • Use appropriate vectorizers
  • Leverage Weaviate's built-in modules
  • Monitor resource usage