Exa

Learn how to connect Exa to JetAdmin to perform AI-powered web search, retrieve webpage content, and provide AI Agents with up-to-date information.

Exa is an AI-powered search engine designed for applications and AI systems. It enables semantic web search and content retrieval, helping AI Agents find relevant information beyond traditional keyword-based search.

Connecting Exa

To connect your Exa account:

1. Open the Data tab from the left sidebar.

2. Click Add Resource.

3. Select Exa from the list of available resources.

4. Authenticate your Exa account.

Once connected, the Exa resource becomes available anywhere JetAdmin supports Data resources.

What can it do?

The Exa integration gives JetAdmin access to AI-powered web search and content retrieval.

From JetAdmin, you can:

• Search the web using semantic search

• Retrieve the contents of webpages

• Find relevant sources for research

• Provide AI Agents with live web information

• Use search results inside workflows and applications

Where to use it?

Exa is most useful whenever your application needs web research, live information, or Retrieval-Augmented Generation (RAG).

You can use it in:

JetAdmin feature	Common use cases
AI Agents	Answer questions using current web data, research topics, find reliable sources
Workflows	Automate web research, collect online information, enrich business data
Internal tools	Build research assistants, search portals, knowledge discovery tools, or content aggregation applications

Typical business use cases include:

• AI-powered research

• Market and competitor analysis

• Content discovery

• Knowledge enrichment

• News monitoring

• Source retrieval for AI responses

• RAG applications

Available tools (Actions)

Action	Description
Web Search (Advanced)	Perform semantic web searches to find the most relevant webpages and sources.
Web Fetch	Retrieve and process the content of a webpage for analysis or use by AI Agents.

💡 Web Search (Advanced) supports natural language queries, making it ideal for research tasks where keyword matching alone isn't enough.

Example prompts for AI Agents

Research a topic

Research the latest trends in AI coding assistants and summarize the most important findings from reliable sources.

Find official documentation

Search for the official Stripe documentation about webhooks and summarize the implementation process.

Retrieve webpage content

Fetch the content from https://openai.com and summarize the latest product announcements.

Compare competitors

Search for the top project management platforms and compare their key features and pricing.

Find recent information

Search for recent news about vector databases and provide a summary with the original sources.

Enrich an AI response

Search the web for the latest information about the Model Context Protocol (MCP) and answer the user's question using the retrieved sources.

Example

This example demonstrates how an AI Agent can use Exa to research a topic, retrieve relevant webpages, and generate an answer using live web information.