AI and machine learning
Vector database
- AI and machine learning
Definition
A database that stores information as lists of numbers called vectors, so AI systems can find content with a similar meaning.
Example
A document-search system stores vectors and looks up the nearest matches for a user's question.
See how it works
- Create document embeddings
- Store vectors with record IDs
- Embed the search query
- Retrieve nearby vectors and source documents
Check your understanding
Common mistake: Vector similarity is not evidence that a retrieved statement is true or appropriate for the user's task.
What does a vector database commonly index for similarity search?
Show explanation
Numerical representations of the items to be compared, often called embeddings.
For your role
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Why it matters
It powers AI search and assistants that work with company knowledge.
Where it is used
AI search tools and chatbot projects.