Swiftask partners with JigsawStack to bring you intelligent search. Find relevant data instantly, even without exact keyword matches.
Result:
Save valuable time by eliminating fruitless searches and accessing the right information directly.
Traditional keyword search is outdated
Your teams waste hours searching for documents. Classic keyword search fails when terms differ slightly. The result: growing frustration, buried data, and a major loss of operational efficiency.
Main negative impacts:
Swiftask integrates JigsawStack to turn your data into semantic vectors. Your users ask questions in natural language and get precise answers based on context.
BEFORE / AFTER
What changes with Swiftask
Limited keyword search
You search for 'recruitment process'. The system returns nothing because the document is titled 'hiring protocol'. You have to try several variations before finding the right file.
Swiftask semantic search
You ask 'How to hire a new team member?'. The Swiftask agent identifies the concept, understands that 'hiring protocol' is the answer, and displays it instantly.
Deploy your intelligent search in 4 steps
STEP 1 : Connect your data sources
Use the JigsawStack connector in Swiftask to index your documents, knowledge bases, and internal files.
STEP 2 : Automatic vectorization
Swiftask sends data to JigsawStack to create vector representations (embeddings) of your content.
STEP 3 : Configure search agent
Set up your agent to use the semantic search engine as its primary source of truth.
STEP 4 : Natural language querying
Your teams can now ask complex questions via Swiftask and get synthesized answers.
Advanced features for your data
The agent analyzes not just the text, but the intent behind each query to filter the most relevant results.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-jigsawstack@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 semantic search
1. Increased precision
Get answers based on meaning rather than exact character matches.
2. Operational time savings
Drastically reduce the time spent searching for critical information.
3. Fluid user experience
Query your data like you would talk to a colleague: naturally and simply.
4. Unlimited scalability
JigsawStack handles large data volumes while maintaining ultra-fast search speeds.
5. Knowledge alignment
Ensure everyone accesses the same reliable, up-to-date information.
Privacy and integrity
Swiftask applies enterprise-grade security standards for your jigsawstack automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Search time | Several minutes (manual) | A few seconds (automated) |
| Relevance rate | Low (high noise) | High (contextualized) |
| User adoption | Low (complex tool) | High (natural language) |
| Management cost | Heavy manual indexing | Full automation |
Take action with jigsawstack
Save valuable time by eliminating fruitless searches and accessing the right information directly.