vector-db-setup

Installation
SKILL.md

Vector Database Setup

Configure vector databases for semantic search and AI applications.

Core Workflow

  1. Choose database: Select based on requirements
  2. Setup connection: Configure client
  3. Generate embeddings: Create vector representations
  4. Index documents: Store with metadata
  5. Query vectors: Semantic similarity search
  6. Optimize: Tune for performance

Database Comparison

Database Type Best For Scaling
Pinecone Managed Production, no ops Automatic
Chroma Embedded/Server Development, local Manual
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Jan 24, 2026