Chroma integration
Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/chroma-integration
Chroma local vector database setup and operations for development and productionFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill chroma-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, 221 tokens by cl100k_base, as published. Nobody here has run it
Chroma Integration Skill
Capabilities
- Set up Chroma (ephemeral, persistent, client-server)
- Create and manage collections
- Implement document ingestion with embeddings
- Configure metadata filtering
- Set up multi-tenant collections
- Implement where and where_document filters
Target Processes
- vector-database-setup
- rag-pipeline-implementation
Implementation Details
Deployment Modes
- Ephemeral: In-memory for testing
- Persistent: Local file-based storage
- Client-Server: Chroma server deployment
Core Operations
- Collection creation with embedding functions
- Add/update/delete documents
- Query with filters
- Metadata management
Configuration Options
- Embedding function selection
- Persistence directory
- Distance metric (l2, ip, cosine)
- Collection metadata
- Server configuration
Best Practices
- Use persistent mode for development
- Deploy server mode for production
- Design metadata schema upfront
- Implement proper ID strategies
Dependencies
- chromadb
- langchain-chroma
What ships with it: 1 file
537 B alongside SKILL.md
- README.md537 B