Definition

What is Semantic Search?

A search method that finds results based on meaning and intent rather than exact keyword matching.

Semantic search uses vector embeddings to represent text as mathematical points in space, allowing it to find conceptually related content even when the exact words differ. Wire includes semantic search on all context containers, so agents can find relevant information using natural language queries.

Related concepts

RAG (Retrieval-Augmented Generation)

A technique that retrieves relevant documents or data at inference time and injects them into the model's context window before generating a response.

Context Container

A portable, shareable unit of organized context (documents, data, and structured information) made accessible to AI agents through MCP tools.

All terms

View full glossary

AI Agent Context as a Service Context Container Structured Context Context Engineering Context Portability Context Rot Context Window MCP (Model Context Protocol) MCP Server RAG (Retrieval-Augmented Generation) Semantic Search Wire

Put context into practice

Create your first context container and connect it to your AI tools in minutes.

Create Your First Container