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.
Further reading
Articles about Semantic Search
5 articles from the Wire blog, sorted newest first. Return to the Semantic Search definition for context.
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%.
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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