Query your remote sources with the power of semantic search
Swiftask connects your AI agents to your remote databases and documents. Find exact information, instantly, without moving your files.
Result:
Save valuable time by eliminating manual searches across your data silos.
AI Agents
remote retrieval
Connector remote retrieval · Secure OAuth 2.0
Data fragmentation kills your productivity
Your information is scattered: local servers, cloud databases, technical wikis, document archives. To find an answer, your teams juggle between ten interfaces, often without success. Classic keyword search is ineffective against the complexity of your data.
Main negative impacts:
Time wasted in silos
Teams spend hours searching for documents without any guarantee of finding the most recent version.
Inability to process context
Keyword search ignores the real meaning of queries, returning irrelevant results.
Complexity of centralization
Moving all your data to a single tool is a major technical and security challenge.
Swiftask offers a remote retrieval connector. Your AI agent queries your sources in real-time, analyzes the meaning of documents, and delivers the exact answer, regardless of where the file is stored.
BEFORE / AFTER
What changes with Swiftask
The classic workflow
You are looking for a technical specification. You open SharePoint, then the file server, then the wiki. You download several PDFs, browse them manually, and try to synthesize the information. It's slow, tedious, and error-prone.
With Swiftask + Remote Retrieval
You ask your question in natural language to the Swiftask agent. It instantly queries your remote sources, performs a semantic analysis, and delivers a synthesized answer with cited sources.
Deploy your AI search engine in 4 steps
1
STEP 1 : Connect your remote sources
Configure secure access to your databases or remote APIs within Swiftask.
2
STEP 2 : Define the search scope
Specify the directories or tables that the agent should semantically index to answer queries.
3
STEP 3 : Enable semantic analysis
The agent processes remote content to understand concepts rather than simple keywords.
4
STEP 4 : Query in natural language
Ask complex questions and receive precise answers based on your real data.
Advanced capabilities of your search agent
The agent evaluates semantic relevance, data freshness, and document hierarchy to prioritize the best answers.
- Target connector: The agent performs the right actions in remote retrieval based on event context.
- Automated actions: Multi-source concurrent search. Answer extraction from varied formats (PDF, DOCX, SQL). Automatic source citation. Granular result filtering by user access.
- Native governance: No data is unnecessarily duplicated: Swiftask uses secure pointers to query your sources.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-remote-retrieval@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 searches
Reduced search time
Go from several minutes to a few seconds to find precise information.
Semantic precision
Fine understanding of business intent, far beyond simple keyword matching.
Data security
Your data stays where it is. Swiftask connects without requiring massive migration.
Operational agility
Add or remove remote sources in a few clicks based on business needs.
Contextual answers
The agent synthesizes information instead of just sending you a list of dead links.
Governance and data protection
Swiftask applies enterprise-grade security standards for your remote retrieval automations.
- Controlled access: The agent respects your source system permissions. No one sees what they aren't authorized to see.
- Encryption: All communication between Swiftask and your remote sources is encrypted in transit.
- Full traceability: Every query is audited to ensure compliance with internal policies.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your internal performance
| Metric | Before | After |
|---|---|---|
| Retrieval time | 10-20 minutes | Under 5 seconds |
| Success rate | Low (isolated silos) | High (cross-source search) |
| Integration effort | Heavy IT project | No-code setup |
Take action with remote retrieval
Save valuable time by eliminating manual searches across your data silos.