Find information instantly in Noor with semantic search
Swiftask connects your AI agents to Noor to transform your document search. Stop searching by keywords, start searching by intent.
Result:
Save valuable time by accessing precise answers directly from your Noor documents.
AI Agents
noor
Connector noor · Secure OAuth 2.0
Keyword search in Noor limits your efficiency
You store thousands of documents in Noor, but your teams struggle to find critical information. Classic keyword search fails when the terms used don't exactly match the document. The result: daily time loss and growing frustration.
Main negative impacts:
Irrelevant results
Classic text search ignores context and synonyms, returning outdated or off-topic documents.
Productivity drain
Your experts spend hours navigating folders to find a specific procedure or piece of data.
Siloed knowledge
Information exists but remains inaccessible, preventing fast decision-making and effective collaboration.
Swiftask implements a semantic search layer over your Noor data. Our agents understand the meaning of your questions and extract the precise answer, regardless of the vocabulary used.
BEFORE / AFTER
What changes with Swiftask
Traditional search
A team member searches for 'refund policy'. If the document is titled 'Returns conditions', the search fails. They must manually open every file to verify its content.
Swiftask semantic search
They ask 'How do I get a refund?'. The AI agent understands the intent, analyzes the semantic content of Noor documents, and extracts the answer directly, including deadlines and conditions.
Activate intelligent search in 4 steps
1
STEP 1 : Connect your Noor instance
Integrate Swiftask with Noor in a few clicks via our secure connector. Your documents become instantly exploitable by AI.
2
STEP 2 : Automatic semantic indexing
Swiftask analyzes and vectorizes your Noor data to enable deep content understanding.
3
STEP 3 : Configure the search agent
Define search scopes and the tone of your AI agent's response without writing a single line of code.
4
STEP 4 : Query your bases
Ask questions in natural language within Swiftask and get sourced answers directly from your Noor documents.
Advanced search capabilities
The agent analyzes the query, identifies key concepts, and compares vector similarity with your indexed documents in Noor.
- Target connector: The agent performs the right actions in noor based on event context.
- Automated actions: Multi-document search. Extraction of precise answers with citations to sources. Support for complex natural language. Contextual filtering based on document metadata.
- Native governance: Search precision improves continuously as the AI learns from your specific business context.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-noor@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 Noor integration
Increased precision
Get answers based on meaning, not on exact term matching.
Massive productivity gain
Drastically reduce search time for your operational teams.
Democratized access
Any team member can find complex information without being an expert in Noor's structure.
Sourced answers
Every answer provided by the AI is accompanied by the exact reference to the original document in Noor.
Guaranteed confidentiality
Semantic search strictly respects the access rights defined in your Noor instance.
Security and privacy
Swiftask applies enterprise-grade security standards for your noor automations.
- Data isolation: Your Noor data is processed in an isolated and secure environment.
- Respect for permissions: The AI agent can only access documents the user is authorized to see.
- End-to-end encryption: All communications between Noor and Swiftask are encrypted.
- GDPR compliance: We adhere to the strictest standards for protecting your corporate data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on internal performance
| Metric | Before | After |
|---|---|---|
| Average search time | 10-15 minutes | Under 5 seconds |
| Search success rate | 60% | 95%+ |
| Tool adoption | Low (complex search) | High (conversational interface) |
| KB maintenance | Strict manual organization | Automatic intelligent indexing |
Take action with noor
Save valuable time by accessing precise answers directly from your Noor documents.