Weaviate integration
Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/weaviate-integration
Weaviate vector database setup with GraphQL queries and hybrid searchFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill weaviate-integrationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.5 KB, 240 tokens by cl100k_base, as published. Nobody here has run it
Weaviate Integration Skill
Capabilities
- Set up Weaviate cluster (cloud or self-hosted)
- Define schemas with properties and vectorizers
- Implement GraphQL queries
- Configure hybrid search (vector + keyword)
- Set up multi-tenancy
- Implement batch import operations
Target Processes
- vector-database-setup
- rag-pipeline-implementation
Implementation Details
Core Operations
- Schema Management: Class definitions and properties
- Data Import: Single and batch object creation
- Vector Search: nearVector, nearText queries
- Hybrid Search: Combined vector and BM25
- GraphQL: Flexible querying with Get and Aggregate
Configuration Options
- Vectorizer modules (text2vec-, multi2vec-)
- Replication factor
- Sharding configuration
- Multi-tenancy settings
- Module configuration
Best Practices
- Design schema for query patterns
- Use appropriate vectorizer
- Enable hybrid search for better recall
- Configure proper backups
- Monitor resource usage
Dependencies
- weaviate-client
- langchain-weaviate
What ships with it: 1 file
552 B alongside SKILL.md
- README.md552 B