Semantic search: find relevant information in InfoLobby
Swiftask connects your AI agents to InfoLobby to understand the deep meaning of your documents. Don't search for keywords, find answers.
Result:
Accelerate the retrieval of critical information and eliminate fruitless searches in your document bases.
AI Agents
infolobby
Connector infolobby · Secure OAuth 2.0
Why traditional keyword search fails in InfoLobby
Storing information in InfoLobby is efficient, but finding it is often a challenge. If you don't know the exact term used in a document, you miss the information. This limitation holds back your team's productivity.
Main negative impacts:
Wasted time on manual search
Employees browse dozens of files unsuccessfully, due to the lack of exact matches with their search queries.
Fragmented knowledge silos
Knowledge is buried in isolated documents. Without intelligent search, it remains inaccessible to those who need it.
Language bias
Reliance on exact vocabulary creates blind spots. Different terminology for the same concept prevents the discovery of relevant documents.
Swiftask implements a semantic search layer over your InfoLobby data. By using embeddings, the AI understands the intent behind your question and identifies relevant documents, even without keyword matches.
BEFORE / AFTER
What changes with Swiftask
Traditional InfoLobby search
You type 'onboarding procedure'. The system only displays documents containing these two words exactly. You miss the document titled 'New Hire Integration Guide' because the terms don't match.
Semantic search with Swiftask
You ask the question: 'How to integrate a new employee?'. The AI agent analyzes the meaning and immediately suggests the 'New Hire Integration Guide', as it understands the semantic relationship between the concepts.
Activate intelligent search in 4 steps
1
STEP 1 : Connect your InfoLobby instance
Configure secure access to your InfoLobby base from the Swiftask interface to enable indexing of your documents.
2
STEP 2 : Intelligent data indexing
Swiftask processes your documents to create semantic vector representations, making the content 'understandable' by the AI.
3
STEP 3 : Define search agents
Create an agent dedicated to knowledge extraction. Define its search scope and allowed document types.
4
STEP 4 : Query your bases in natural language
Ask your questions in natural language. The agent browses InfoLobby and provides precise answers with associated sources.
Advanced semantic analysis capabilities
The agent evaluates the contextual relevance between the user query and the document chunks indexed in InfoLobby.
- Target connector: The agent performs the right actions in infolobby based on event context.
- Automated actions: Multi-document search. Synthesis of answers based on multiple sources. Citation of original sources for verification. Intelligent filtering by metadata. Support for complex natural language queries.
- Native governance: Semantic search is optimized for privacy: access to documents via AI respects the permissions configured in InfoLobby.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-infolobby@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 knowledge management
Increased productivity
Drastically reduce time spent searching for information. Get direct answers instead of lists of files.
Better data utilization
Unlock the value of your entire InfoLobby document base, including documents overlooked by traditional searches.
Reduced errors
Access the correct version of a document or the up-to-date procedure, thanks to superior contextual understanding.
Simplified adoption
Natural language interface allows any employee to query the base without technical training.
Full transparency
Each answer is supported by cited sources, ensuring user trust in the provided results.
Security and data privacy
Swiftask applies enterprise-grade security standards for your infolobby automations.
- Respect for access rights: The AI agent only returns information that the user already has access to in InfoLobby.
- Encrypted infrastructure: Search vectors and processed data are encrypted at rest and in transit.
- Auditability: All queries made by the AI are logged, allowing full oversight of data usage.
- Data isolation: Each client has an isolated indexing space, ensuring total information separation.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
AI search performance indicators
| Metric | Before | After |
|---|---|---|
| Average search time | Several minutes | A few seconds |
| Answer precision rate | Random (depends on keywords) | High (contextual) |
| Volume of accessible documents | Limited to titles and tags | Full semantic content |
| User training effort | Learning search syntaxes | None (natural language) |
Take action with infolobby
Accelerate the retrieval of critical information and eliminate fruitless searches in your document bases.