
from refly-skills186
Perform semantic (meaning-based) search over documents or collections to find similar content and neural search results.
Exa adds semantic search capability to an agent: it performs meaning-based retrieval (not keyword matching) to return documents, passages or results similar to a query. Typical outputs are ranked text results useful for research, RAG pipelines, and content discovery.
Use Exa when you need to find related documents by concept rather than literal terms, surface similar examples, or augment a retrieval-augmented generation workflow with semantically relevant sources. Good for ad-hoc research, summarization, and building search UIs.
search_query and num_results.Inferred compatibility: Claude Code / Refly workflows and generic agent orchestration platforms that can call external skill workflows. The skill is authored for Refly's ecosystem and expects the Refly CLI/workflow runtime.
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