Glossary · Phase 1 · Building with LLMs
Vector database
A database built to store embeddings and quickly find the closest ones to a query.
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Start with the simplest one that works, and move up when the numbers force you to.
Learn it properly
Vector databases · Store and search millions of embeddings quickly. About 25 minutes.
Other terms from the same lesson
- approximate nearest neighbor: Finding vectors that are very probably the closest, much faster than checking every one. Vector databases use it to search millions of items.
- HNSW: A popular index for approximate nearest-neighbor search: a layered graph you hop through, from coarse links to fine ones, toward the closest vectors.
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