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

Knowledge graphs vs RAG: when graphs actually win

Knowledge graphs vs RAG: graph retrieval wins multi-hop reasoning and global summarization, but vector RAG matches it on simple lookups at far lower cost.

Chunking Strategies Decide What Context AI Sees

Chunking strategies decide which context reaches your AI. How fixed-size, semantic, and late chunking change retrieval accuracy, with 2026 benchmark data.

When to process AI context: ingestion, dreaming, query

There are three moments to process AI context: ingestion, a background pass some call dreaming, and query time. Match each kind of work to the right one.

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%.

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All terms

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

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