AI
Vector Database
A database optimized for storing and querying high-dimensional vector embeddings.
Why it matters
- Enables fast similarity search at scale
- Essential infrastructure for RAG systems
- Supports AI-powered search and recommendations
When to use
- When building RAG applications
- For semantic search features
- For large-scale similarity matching
Common mistakes
- Not understanding indexing tradeoffs
- Choosing the wrong similarity metric
- Not planning for scale from the start
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