Vector Database
[/ˈvektər ˈdeɪtəbeɪs/]
Definitions
A specialized database optimized for storing and querying high-dimensional vector embeddings. Vector databases power semantic search, recommendation systems, and RAG architectures by efficiently finding the most similar vectors to a given query.
“We stored all our documentation as embeddings in a vector database so the AI could find relevant passages instantly.”
Related Terms
- EmbeddingsAI & Technology
Dense numerical vector representations of words, sentences, or other data that capture semantic meaning. Similar concepts have similar embeddings (nearby in vector space), allowing...
- AgenticAI & Technology
Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, use tools, and work toward goals with minimal human intervent...
- AI AlignmentAI & Technology
The research field focused on ensuring that AI systems pursue goals that match human values and intentions. A misaligned AI might optimize for a metric that appears correct but pro...
- Chain of ThoughtAI & Technology
A prompting technique where a language model is encouraged or required to show its step-by-step reasoning before providing a final answer. Chain-of-thought prompting significantly ...
- Constitutional AIAI & Technology
A training methodology developed by Anthropic where a set of guiding principles (a "constitution") is used to self-supervise and refine AI outputs. The model critiques and rewrites...
- Context WindowAI & Technology
The maximum amount of text (measured in tokens) that a language model can process and "remember" in a single interaction. Information outside the context window is inaccessible to ...