Exa Web Search
Semantic web search for research and context — find relevant content by meaning, not just keywords
Exa Web Search
Exa provides semantic web search. Agents find relevant pages by meaning, not just keywords. You use it for research, documentation lookup, and context enrichment.
Navigation
- Parent: Integrations
- Related: GitHub | Smithery Marketplace
What Exa Provides
Exa is a semantic search engine. You describe what you want in natural language. Exa returns web pages that match the intent, not just the literal words.
For example, a query like "Splunk index best practices for high-volume data" returns relevant docs, blog posts, and guides even if they use different phrasing.
Use Cases in Agents
Agents use Exa when:
- Research — Finding Splunk documentation, best practices, or troubleshooting guides
- Context enrichment — Pulling in external context when answering questions
- Verification — Checking facts against authoritative sources
You enable Exa in your integration settings. Agents can then call it when they need web search.
Setup
- Go to Settings → Integrations → Exa.
- Enter your Exa API key (you get one from exa.ai).
- Save.
Agents can now use Exa for semantic search when relevant to the task.
When to Use Exa
Enable Exa when you want agents to:
- Look up Splunk or vendor documentation
- Research new features or migration paths
- Find relevant external resources
Exa is optional. If you prefer agents to rely only on your Splunk and internal docs, disable it.