a5c-ai

chroma-integration

Chroma local vector database setup and operations for development and production

a5c-ai 1,230 73 Updated 4mo ago

Resources

1
GitHub

Install

npx skillscat add a5c-ai/babysitter/chroma-integration

Install via the SkillsCat registry.

SKILL.md

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

  1. Ephemeral: In-memory for testing
  2. Persistent: Local file-based storage
  3. 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