Exa
Give your ElevenLabs agents real-time web search
Overview
Connect your ElevenLabs AI agents with Exa to perform semantic web searches during conversations. Your agents can find relevant web content, research topics, and retrieve up-to-date information — with optional filtering by category (news, research papers, companies, GitHub, LinkedIn, and more), domain, and date range.
Setup
This integration uses an Exa API key for authentication.
Search options
The integration exposes several parameters that control how searches are performed.
Categories
Searches can optionally be scoped to a content category, which focuses results on a specific type of source. Below are some example categories — refer to the Exa documentation for the full set of supported categories:
Content retrieval
Each search result can include one or more content types, which control what information is extracted from the page:
- Highlights (recommended) — returns the most relevant text snippets from the page. Token-efficient and suitable for most use cases.
- Text — returns the full page text. Use when you need complete content rather than just the relevant parts.
- Summary — returns an LLM-generated summary of the page. Higher latency than other options.
Filtering
Results can be further narrowed by including or excluding specific domains, and by filtering to a published date range (ISO 8601).
