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claude-codedevelopment

Babysitter weaviate-integration

Weaviate vector database setup with GraphQL queries and hybrid search

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/weaviate-integration" ~/.claude/skills/a5c-ai-babysitter-weaviate-integration && rm -rf "$T"
manifest: library/specializations/ai-agents-conversational/skills/weaviate-integration/SKILL.md
tags
#vector-database#graphql-queries#hybrid-search#schema-management#data-import
source content

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

  1. Schema Management: Class definitions and properties
  2. Data Import: Single and batch object creation
  3. Vector Search: nearVector, nearText queries
  4. Hybrid Search: Combined vector and BM25
  5. 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