Intelligent semantic search with Stack AI and Swiftask
Stop searching by keywords. Swiftask and Stack AI analyze the deep meaning of your documents to deliver precise answers instantly.
Result:
Save valuable time by accessing relevant information directly, without browsing through dozens of files.
AI Agents
stack ai
Connector stack ai · Secure OAuth 2.0
Keyword-based search limits your efficiency
Traditional search tools often fail to understand the intent behind a query. If you don't type the exact word, you miss crucial documents. This gap between user intent and rigid indexing hurts productivity.
Main negative impacts:
Time lost in exploration
Your employees spend hours filtering irrelevant results generated by classic text-based searches.
Siloed and invisible data
Vital information remains buried in your document bases simply because it doesn't contain the 'right' keywords.
User frustration
The inability to quickly find reliable answers decreases trust in your knowledge management systems.
Thanks to the Swiftask and Stack AI integration, transform your documents into a living knowledge base. Semantic search understands context and meaning, ensuring ultra-precise results.
BEFORE / AFTER
What changes with Swiftask
Classic search (keywords)
You search for 'reimbursement procedures'. The system only finds documents containing that exact phrase. You miss expense reports, travel policies, and validation emails using other terms.
Semantic search (Stack AI)
You ask 'How do I get my expenses reimbursed?'. The system identifies the concept of reimbursement, analyzes your documents, and extracts the exact answer, even if the exact term isn't present.
Deploy your semantic search engine in 4 steps
1
STEP 1 : Index your sources in Stack AI
Import your documents, PDFs, databases, or web links into your Stack AI workflow to create your embeddings.
2
STEP 2 : Connect Stack AI to Swiftask
Use the Swiftask interface to link your Stack AI flow. No heavy development, a fluid integration via API.
3
STEP 3 : Configure the query engine
Define the AI agent's behavior: should it cite sources? Should it synthesize the answer? Adjust its precision settings.
4
STEP 4 : Query your data in natural language
Ask your questions directly in Swiftask. The agent queries Stack AI and provides a contextualized answer.
Advanced search capabilities
The agent analyzes the vector similarity between your question and the indexed content to rank documents by semantic relevance.
- Target connector: The agent performs the right actions in stack ai based on event context.
- Automated actions: Multi-format document search, automatic response synthesis, source citation, natural language support, dynamic metadata filtering.
- Native governance: Accuracy improves over time through continuous optimization of the language models used in Stack AI.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-stack-ai@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.
Benefits of meaning-based search
Increased precision
Get results that match the meaning of your question, not just the words present.
Operational time saving
Drastically reduce the time spent searching for internal information.
Easier adoption
Query your systems as you would talk to a colleague, without learning complex search syntax.
Data valuation
Give new life to your archives by making them instantly accessible via AI.
No-code scalability
Modify your data sources or search logic without touching code.
Data security and privacy
Swiftask applies enterprise-grade security standards for your stack ai automations.
- Data isolation: Your documents indexed in Stack AI remain siloed and accessible only by authorized agents.
- Compliance: Exchanges between Swiftask and Stack AI are encrypted, ensuring the integrity of your sensitive information.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on your productivity
| Metric | Before | After |
|---|---|---|
| Average search time | 10-20 minutes | Under 5 seconds |
| Search success rate | Low (limited keywords) | High (semantic understanding) |
| User satisfaction | Average | Very high |
Take action with stack ai
Save valuable time by accessing relevant information directly, without browsing through dozens of files.