Tarification

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.

Resultat:

Save hours of manual curation and radically improve the accuracy of your agents' responses.

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.

Les principaux impacts négatifs :

Fragmented and outdated data: Your AI agents struggle to answer correctly because their data sources lack depth or freshness.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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : Define sources and queries

Configure in Swiftask the search criteria and themes your agent should monitor via Exa.

ÉTAPE 2 : Connect the Exa engine

Activate the Exa connector in your Swiftask interface to grant the agent access to semantic search.

ÉTAPE 3 : Automate data collection

Schedule the agent to perform searches periodically or triggered by specific events.

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans exa selon le contexte de l'événement.
Actions automatisées : Targeted semantic search. Automatic content extraction. Complex web document synthesis. Dynamic knowledge base updates.
Gouvernance native : You maintain total control over the sources and data types authorized for enrichment.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-exa@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic advantages for your business

1. Living knowledge base

Your agents always have the latest information without any manual intervention.

2. Increased AI precision

Using sourced and relevant data improves the reliability of your agents' answers.

3. Massive productivity gains

Automate monitoring and content curation to focus on strategy.

4. Reduced errors

Automated processing via Exa ensures consistency in integrated data.

5. Unlimited scalability

Enrich your knowledge base on hundreds of topics simultaneously.

Governance and data control

Swiftask applique des standards de sécurité enterprise pour vos automatisations exa.

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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Automated enrichment performance

Métrique	Avant	Après
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

Passez à l'action avec exa

Save hours of manual curation and radically improve the accuracy of your agents' responses.