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Glossary · AI Agents

What is Vector Database?

A database designed to store embeddings and quickly find the most similar ones to a query.

In more detail

Used in RAG systems at scale, often with metadata filters (date, department, permissions). Small projects can use an in-memory list instead.

Example

Finding the 4 most relevant policy chunks among 50,000 in milliseconds.

Learn it properlyAgent Memory and RAG: Giving AI Agents Context and Knowledge11 min lesson · AI Agents

Related terms

EmbeddingA list of numbers that represents the meaning of a piece of text, so similar meanings are close together.Human-in-the-LoopA design where a person reviews or approves an AI system’s action before it takes effect.Model Context Protocol (MCP)An open standard for connecting AI applications to tools and data sources through reusable servers.ReAct PatternAn agent pattern that alternates reasoning about the next step with acting through a tool, then observing the result.Tool Calling (Function Calling)A model capability where the AI returns a structured request to run a function with specific arguments, instead of plain text.