Document Search App by Embee

Embee's Document Search Application enables users to submit queries in natural language within Microsoft Teams and receive precise responses from a centralized knowledge base. Enhance productivity and streamline document management with our AI-powered solution.

Business Requirement

• Streamlined Query Resolution: Enable users to submit queries in natural language and receive precise responses from a pre-existing knowledge base.

• Efficient Document Management: Overcome challenges of decentralized document storage and time-consuming manual searches.

• Enhanced User Experience: Provide an intuitive interface within Microsoft Teams for easy access and interaction.

How It Works?

1. Upload & Metadata Mapping:

• Users upload documents and map relevant metadata.

• Documents are stored securely in a centralized storage system.

2. AI-Powered Responses:

• Queries are processed using Azure Open AI Services.

• The bot provides accurate and relevant responses based on the knowledge base.

3. User Interaction:

• Users interact with the bot in Microsoft Teams.

• Natural language processing ensures user-friendly query submission and response retrieval.

4. Feedback & Review:

• Users can provide feedback with thumbs up/down,

• Admins can review response quality and effectiveness.

Tools and Technologies

Benefits for our Customers

• Automation: Reduces manual effort in document search and query resolution.

• Efficiency: Speeds up information retrieval, enhancing productivity.

• Centralized Storage: All documents and data are stored in one secure location.

• User-Friendly Interface: Easy installation and interaction within Microsoft Teams.

• Cost and Time Savings: Minimize the time spent on managing and searching for documents.

• Quality Control: User feedback ensures continuous improvement of response accuracy.