Integration / Search Engine / Exa Exa Semantic search, RAG & structured research
With emma's Exa integration, you can perform semantic searches that understand meaning, find similar content, retrieve content from URLs, generate RAG answers with citations, and execute Deep Search for structured output. Specialized for research papers and academic content.
Features Authentication Method: API Key
Authenticate using your Exa API key.
Exa_Operator supports the following 5 tools:
Category Tools Semantic Search 1 Tool Name Description exa_search Meaning-based search (Autoprompt auto-optimization)
Find Similar 1 Tool Name Description exa_find_similar Find content similar to a given URL
Get Contents 1 Tool Name Description exa_get_contents Retrieve text, summary, and highlights from URLs
RAG Answer 1 Tool Name Description exa_answer LLM generates cited answers based on search results
Deep Search 1 Tool Name Description exa_deep_search Execute complex research and get structured output
Main Parameters Parameter Description query Search query (meaning-based) num_results Number of results (1-10) category Category filter (research paper, news, github, company, etc.) url URL to find similar content for urls URLs to get content from (comma-separated) include_summary Include AI summary include_highlights Include AI highlights output_description Description of expected output (for Deep Search)
Use Cases • Meaning-based search → exa_search • Find similar content → exa_find_similar • Get content from URLs → exa_get_contents • Fact-checking & latest info → exa_answer • Complex research & structured output → exa_deep_search Prerequisites • emma account • Exa account • Exa API key Setup 2. Configure in emma Set up your Exa API key in the emma dashboard and enable the integration.
