Definition

What is Semantic Search?

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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 RAG (Retrieval-Augmented Generation) Context Container

Further reading

Articles about Semantic Search

One job per tool: why adding wire_navigate cut agent calls 24%

We restructured Wire's MCP surface from 2 overloaded tools to 3 single-purpose ones. The counterintuitive result: adding a tool cut total calls 24%.

Why Semantic Search Beats Keywords for AI

Hybrid search improves AI retrieval accuracy by up to 41% in technical domains. Here's how semantic search works, where keywords fail, and when you need both.

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Agent Drift AI Agent AI Hallucination AI Second Brain Context as a Service Context Container Context Compression Context Drift Context Engineering Context Poisoning Context Portability Context Rot Epistemic Provenance Context Window MCP Server MCP (Model Context Protocol) Fine-Tuning Multi-Agent System Prompt Caching Prompt Engineering RAG (Retrieval-Augmented Generation) Semantic Search Structured Context Tool Poisoning Wire

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