exa

Author: yevanchen
Version: 0.0.1
Type: tool

Contact

Description

Exa is an AI-powered search tool that enables semantic search, content retrieval, similarity search, and answers generation using Exa's advanced API.

Tools

1. Exa Search ()

The search endpoint lets you intelligently search the web and extract contents from the results.

By default, it automatically chooses between traditional keyword search and Exa's embeddings-based model to find the most relevant results for your query.

Parameters:

• query (string, required): The search query to find relevant information on the web.
• search_type (select, optional, default: "neural"):
  • Options: "neural" (semantic), "keyword" (traditional), "auto"
  • Neural uses advanced AI for semantic understanding, keyword uses traditional search techniques
• num_results (number, optional, default: 10): Maximum number of search results (1-100)
• include_domains (string, optional): Comma-separated list of domains to include in results
• exclude_domains (string, optional): Comma-separated list of domains to exclude from results
• start_published_date (string, optional): Only include results published after this date (YYYY-MM-DD)
• end_published_date (string, optional): Only include results published before this date (YYYY-MM-DD)
• use_autoprompt (boolean, optional, default: true): Whether to use Exa's prompt engineering to improve the query
• text_contents (boolean, optional, default: false): Whether to include text contents from each result
• highlight_results (boolean, optional, default: false): Whether to highlight relevant snippets
• category (select, optional): Focus on specific data categories
  • Options: "company", "research paper", "news", "pdf", "github", "tweet", "personal site", "linkedin profile", "financial report"
• includeText (string, optional): Text that must be present in results (up to 5 words)
• excludeText (string, optional): Text that must not be present in results (up to 5 words)

2. Exa Answer ()

Get an LLM answer to a question informed by Exa search results. Fully compatible with OpenAI's chat completions endpoint.

/answer performs an Exa search and uses an LLM (GPT-4o-mini) to generate either:

• A direct answer for specific queries (i.e., "What is the capital of France?" would return "Paris")
• A detailed summary with citations for open-ended queries (i.e., "What is the state of AI in healthcare?" would return a summary with citations to relevant sources)

Parameters:

• query (string, required): The question to be answered with supporting evidence from the web
• text (boolean, optional, default: false): Include the full text content of each source in the results
• model (select, optional, default: "exa"):
  • Options: "exa", "exa-pro"
  • Specify which model should process the query and generate the answer

3. Exa Similar Links ()

Find similar links to the link provided and optionally return the contents of the pages.

Parameters:

• url (string, required): The source URL to find similar content for
• num_results (number, optional, default: 10): Number of similar links to return (max 100)
• text (boolean, optional, default: false): Include the full text content of each similar page

4. Exa URL Contents ()

Get the full page contents, summaries, and metadata for a list of URLs.

Returns instant results from Exa's cache, with automatic live crawling as fallback for uncached pages.

Parameters:

• urls (string, required): Comma-separated list of URLs to extract content from
• livecrawl (select, optional, default: "never"):
  • Options: "never", "fallback", "always", "auto"
  • Choose the live crawling strategy for content retrieval
• full_page_text (boolean, optional, default: false): Include the full text of each webpage, including subpages
• ai_page_summary (boolean, optional, default: false): Generate a summary for each webpage using LLM
• number_of_subpages (number, optional, default: 1): Number of subpages to include in content extraction
• return_links (number, optional, default: 1): Number of links to return from each webpage

Acknowledgements

Special thanks to @ExaAILabs for providing the powerful API that powers this plugin.