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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.

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

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.

STEP 2 : Configure semantic indexing

Select the sheets and fields the AI needs to analyze to ensure maximum relevance of results.

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.

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?

1. Ultra-fast access

Reduce search time from minutes to seconds.

2. Zero complex learning

No need to master SQL search operators or complex Ragic filters.

3. Maximize existing assets

Breathe new life into your old data stored without extra effort.

4. Increased precision

The AI understands synonyms and business context to avoid false positives.

5. 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

MetricBeforeAfter
Average search time10-15 minutesUnder 5 seconds
Search success rate65% (limited keywords)98% (semantic understanding)
Team productivityIntensive manual searchImmediate self-service

Take action with ragic

Stop wasting time navigating spreadsheets. Access your knowledge base instantly.

Master your Ragic deadlines with AI automation

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