# What is Vector Database?

A database optimized to store embeddings and find the closest matches by meaning, not exact keywords.

## In real work

Vector database stores doc embeddings so RAG can fetch the three closest policy sections in milliseconds.

## Related terms

- [System Prompt](https://prompthausapp.com/learn/system-prompt.md)
- [Few-Shot Example](https://prompthausapp.com/learn/few-shot-example.md)
- [Zero-Shot](https://prompthausapp.com/learn/zero-shot.md)
- [Chain of Thought](https://prompthausapp.com/learn/chain-of-thought.md)
- [Persona](https://prompthausapp.com/learn/persona.md)

## How is this different from Googling it?

Google gives a definition. Prompthaus pairs each term with how it shows up in standups, PRs, prompts, and design reviews—then quizzes you until the word sticks. One term a day on iPhone.

- Category: Prompting
- HTML: https://prompthausapp.com/learn/vector-database
- App Store: https://apps.apple.com/us/app/prompthaus-ai-vocabulary/id6776314407