Enrich your knowledge base with Exa's AI search
Swiftask integrates Exa to turn the web into structured data. Feed your AI agents with precise and up-to-date information.
Result:
Save hours of manual curation and radically improve the accuracy of your agents' responses.
AI Agents
exa
Connector exa · Secure OAuth 2.0
The challenge of maintaining an up-to-date knowledge base
A static knowledge base quickly becomes obsolete. Manually searching for information, filtering it, and integrating it into your AI tools is a time-consuming task that limits your agents' effectiveness.
Main negative impacts:
Fragmented and outdated data
Your AI agents struggle to answer correctly because their data sources lack depth or freshness.
Excessive research time
Your teams spend more time searching for web data than training their agents or optimizing processes.
Poor AI answer quality
Without a steady stream of qualified data, AI produces generic or inaccurate responses.
Swiftask automates knowledge base enrichment using the Exa search engine. Configure agents that crawl the web, filter results, and update your internal knowledge automatically.
BEFORE / AFTER
What changes with Swiftask
Manual data management
An analyst has to identify web trends, copy links, summarize content, and paste it into the agent's knowledge base. The process is slow and prone to human error.
Automated enrichment with Exa
Your Swiftask agent queries Exa with precise semantic requests. It retrieves the most relevant content, synthesizes it, and enriches your Swiftask knowledge base instantly.
Setting up your enrichment pipeline
1
STEP 1 : Define sources and queries
Configure in Swiftask the search criteria and themes your agent should monitor via Exa.
2
STEP 2 : Connect the Exa engine
Activate the Exa connector in your Swiftask interface to grant the agent access to semantic search.
3
STEP 3 : Automate data collection
Schedule the agent to perform searches periodically or triggered by specific events.
4
STEP 4 : Validation and integration
The agent processes raw data, structures it, and automatically adds it to your Swiftask knowledge base.
Exa search and processing capabilities
The agent analyzes the semantic relevance of results provided by Exa, removes digital noise, and extracts high-value information.
- Target connector: The agent performs the right actions in exa based on event context.
- Automated actions: Targeted semantic search. Automatic content extraction. Complex web document synthesis. Dynamic knowledge base updates.
- Native governance: You maintain total control over the sources and data types authorized for enrichment.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-exa@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Strategic advantages for your business
Living knowledge base
Your agents always have the latest information without any manual intervention.
Increased AI precision
Using sourced and relevant data improves the reliability of your agents' answers.
Massive productivity gains
Automate monitoring and content curation to focus on strategy.
Reduced errors
Automated processing via Exa ensures consistency in integrated data.
Unlimited scalability
Enrich your knowledge base on hundreds of topics simultaneously.
Governance and data control
Swiftask applies enterprise-grade security standards for your exa automations.
- Source filtering: Define allowlists and blocklists to control the sites explored by Exa.
- Optional human validation: Configure a validation workflow before final integration into your knowledge base.
- Source traceability: Every added data point includes its original source for easy verification.
- Total privacy: Your internal data is never used to train public models.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Automated enrichment performance
| Metric | Before | After |
|---|---|---|
| Update time | Several days | A few minutes |
| Data volume | Limited by humans | Unlimited with AI |
| Answer relevance | Variable | Optimized and targeted |
| Operational cost | High (human time) | Drastically reduced |
Take action with exa
Save hours of manual curation and radically improve the accuracy of your agents' responses.