LearnFrenzy

Sign in Take a free test

Glossary · AI Agents

What is Embedding?

A list of numbers that represents the meaning of a piece of text, so similar meanings are close together.

In more detail

Embeddings power semantic search and RAG: questions and document chunks are compared by vector similarity rather than exact words.

Example

"attendance rule for exams" and "minimum attendance to write finals" have similar embeddings.

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

Related terms

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