Supercharge your productivity with Cortex semantic search
Swiftask integrates Cortex to provide meaning-based search. Find the exact information you need, instantly, from millions of documents.
Result:
Stop wasting time searching. Get relevant answers, even without using exact keywords.
AI Agents
cortex
Connector cortex · Secure OAuth 2.0
Traditional keyword search is no longer enough
Legacy search tools rely on exact term matching. If you don't type the precise word, the document remains invisible. In an information-saturated enterprise, this creates knowledge silos and slows down decision-making.
Main negative impacts:
Time lost in manual searches
Your employees spend hours navigating folders or document bases without any guarantee of success.
Mismatch between intent and result
The user knows what they are looking for, but the search engine fails to understand the concept behind their query.
Untapped knowledge
Critical data lies dormant in unindexed or poorly referenced files, making institutional knowledge inaccessible.
By integrating Swiftask with Cortex, your search becomes semantic. The AI understands the context and deep meaning of your documents to provide relevant results, regardless of the vocabulary used.
BEFORE / AFTER
What changes with Swiftask
Before: Keyword-based search
You search for 'remote work policy'. The system only returns documents containing these exact words. If the file is named 'Telecommuting Charter', it is ignored.
After: Cortex semantic search
The engine understands that 'remote work' and 'telecommuting' share the same concept. It offers the relevant charter, even if the exact keyword is missing.
How to deploy your intelligent search engine
1
STEP 1 : Connect your database to Cortex
Centralize your document sources into Cortex via Swiftask. The AI begins semantic indexing of your files.
2
STEP 2 : Configure the Swiftask search agent
Define search boundaries and access permissions to ensure complete data security.
3
STEP 3 : Refine contextual interpretation
Train your agent on industry-specific jargon to maximize result precision.
4
STEP 4 : Ask, receive, analyze
Ask your questions in natural language. The Swiftask/Cortex agent analyzes the query and extracts the exact answer.
Core semantic search capabilities
The system analyzes the vector proximity between your query and the concepts present in your documents.
- Target connector: The agent performs the right actions in cortex based on event context.
- Automated actions: Natural language search. Multi-language support. Answer extraction from PDFs, docs, or notes. Metadata filtering. Continuous learning from queries.
- Native governance: Precision improves over time thanks to user feedback on result relevance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-cortex@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 benefits for your organization
Immediate access to knowledge
Drastically reduce the time spent searching for strategic information across your teams.
Increased precision
Get answers based on context, eliminating the noise of irrelevant results.
Improved onboarding
New employees find answers to frequent questions without needing to interrupt their managers.
Total interoperability
Cortex integrates with your entire technical stack via Swiftask.
Enhanced security
Access control ensures each user only sees what they are authorized to view.
Commitment to security
Swiftask applies enterprise-grade security standards for your cortex automations.
- End-to-end encryption: All indexed data is protected by the highest security standards.
- Granular access control: Permissions are synchronized with your enterprise directory.
- GDPR compliance: Swiftask and Cortex strictly adhere to data privacy requirements.
- Environment isolation: Each client has a dedicated semantic index, ensuring data isolation.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your efficiency
| Metric | Before | After |
|---|---|---|
| Average search time | 15 minutes per query | Less than 5 seconds |
| Relevance rate | Low (many irrelevant results) | 95% accuracy |
| Volume of queries handled | Limited by human effort | Unlimited and instant |
| Search cost | High (productivity loss) | Optimized and automated |
Take action with cortex
Stop wasting time searching. Get relevant answers, even without using exact keywords.