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