Stop wasting time searching. Swiftask understands the meaning behind your queries to extract relevant data from your Mitra databases instantly.
Result:
Gain precision and accelerate decision-making by accessing the right information in record time.
Legacy keyword search is falling behind
Traditional search engines rely on exact term matching. If you don't use the exact word, the information remains invisible. In large Mitra datasets, this leads to significant productivity losses.
Main negative impacts:
Swiftask's semantic search understands the intent behind your question. It explores your Mitra data in depth to provide contextual answers, not just a list of files.
BEFORE / AFTER
What changes with Swiftask
Traditional search in Mitra
You look for a specific report. You type a keyword. You get 50 documents, none are the right one. You have to open each file manually to check its content.
Semantic search with Swiftask
You ask a complex question in natural language. Swiftask analyzes your Mitra data and delivers directly the relevant paragraph or summary you expected.
Deploying semantic search in 4 steps
STEP 1 : Connect your Mitra data
Enable the Mitra connector in Swiftask to securely index your documents and knowledge bases.
STEP 2 : Configure indexing
Define the data scopes your agent should analyze to optimize result relevance.
STEP 3 : Train your agent
The Swiftask AI learns the structure and business context of your documents to improve semantic understanding.
STEP 4 : Natural language querying
Ask your questions via the Swiftask interface and get answers based on the real content of your data.
Deep analysis capabilities
Swiftask uses advanced language models to turn text into semantic vectors, allowing it to capture nuances and synonyms.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-mitra@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 of semantic AI
1. Increased precision
Get exact answers through understanding business context.
2. Massive time savings
Eliminate the phase of reading irrelevant documents to find information.
3. Knowledge accessibility
Make your Mitra databases usable by everyone, without technical expertise.
4. Boosted productivity
Allow your teams to focus on analysis rather than searching.
5. Guaranteed compliance
Semantic search respects the access permissions defined in Mitra.
Guaranteed data security
Swiftask applies enterprise-grade security standards for your mitra automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your efficiency
| Metric | Before | After |
|---|---|---|
| Average search time | 10-15 minutes | A few seconds |
| Relevance rate | Low (keyword-based) | Very high (semantic) |
| Volume of analyzed data | Limited by human memory | All indexed databases |
| Setup time | Heavy IT project | Activation in a few clicks |
Take action with mitra
Gain precision and accelerate decision-making by accessing the right information in record time.