Find information in Ragic instantly with semantic search
Swiftask adds an intelligence layer to your Ragic databases. Query your data in natural language and get precise, context-aware answers.
Result:
Stop wasting time navigating spreadsheets. Access your knowledge base instantly.
AI Agents
ragic
Connector ragic · Secure OAuth 2.0
Keyword search limits your data access
Ragic is a powerful platform, but traditional search fails as soon as queries become complex. If you don't know the exact term, the information remains invisible. This creates major bottlenecks for your teams.
Main negative impacts:
Time lost on research
Your employees spend hours manually digging through hundreds of rows to find specific information.
Inaccessible unstructured data
Notes, comments, and detailed descriptions in Ragic are often ignored by standard search tools.
Lower customer responsiveness
Responding to customer requests takes too long because accessing internal data is laborious and fragmented.
Swiftask connects semantic AI to your Ragic instance. It understands the intent of your question and scans your entire database to extract the exact answer, even if the wording differs.
BEFORE / AFTER
What changes with Swiftask
Traditional search
You are looking for a specific contract. You try several keywords in Ragic. No results match exactly. You have to open multiple files manually to check the content.
Swiftask semantic search
You ask: 'What is the status of the contract with client X for project Y?'. The AI analyzes the data, understands the context, and delivers the exact status in seconds.
Implement AI search on Ragic in 4 steps
1
STEP 1 : Connect your Ragic instance
Integrate your Ragic sheets with Swiftask via our secure connector. The AI indexes your data to make it searchable.
2
STEP 2 : Configure semantic indexing
Select the sheets and fields the AI needs to analyze to ensure maximum relevance of results.
3
STEP 3 : Query your data
Use the Swiftask interface or the embedded chat to ask questions in natural language, just as you would with a colleague.
4
STEP 4 : Get contextualized results
The AI provides not only the result but also the exact source within Ragic for quick verification.
Advanced search capabilities
The algorithm analyzes the relational structure of Ragic and the deep meaning of human language to cross-reference relevant information.
- Target connector: The agent performs the right actions in ragic based on event context.
- Automated actions: Multi-sheet search. Natural Language Processing (NLP). Contextual filtering by date or category. Automatic extraction from long text fields.
- Native governance: Security is guaranteed: the AI can only access data for which you have authorized permissions in Ragic.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ragic@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.
Why choose Swiftask for your Ragic data?
Ultra-fast access
Reduce search time from minutes to seconds.
Zero complex learning
No need to master SQL search operators or complex Ragic filters.
Maximize existing assets
Breathe new life into your old data stored without extra effort.
Increased precision
The AI understands synonyms and business context to avoid false positives.
Guaranteed scalability
Search remains performant even as your data volume in Ragic grows significantly.
Secure and private search
Swiftask applies enterprise-grade security standards for your ragic automations.
- Respect for access rights: The integration strictly adheres to the permissions defined in your Ragic instance.
- Data encryption: All indexed data is encrypted at rest and in transit according to banking standards.
- No training on your data: Your private data is never used to train our public AI models.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operational efficiency
| Metric | Before | After |
|---|---|---|
| Average search time | 10-15 minutes | Under 5 seconds |
| Search success rate | 65% (limited keywords) | 98% (semantic understanding) |
| Team productivity | Intensive manual search | Immediate self-service |
Take action with ragic
Stop wasting time navigating spreadsheets. Access your knowledge base instantly.