Project Overview
One of our reputed finance client faced the challenge of developing an efficient chatbot solution. To address this, we created Multi-Agent System, an innovative platform that streamlines the chatbot creation process. By simply uploading documents, users can quickly build chatbots that leverage our advanced semantic search capabilities. Multi-Agent System indexes these documents into the Open Search Vector Database, enabling the chatbot to provide accurate and relevant responses to user queries. This cutting-edge technology demonstrates our commitment to delivering innovative solutions that enhance user experience and knowledge retrieval within the financial industry.
Multi Agent Chatbot
The solution leverages a centralized manager agent that coordinates two specialized sub-agents:
The project aimed to create a system that effectively handles user queries involving both structured data (e.g., statistics, calculations) and reasoning-based questions requiring logical analysis or similarity searches.
Agent 1 - Statistical Queries
Handles questions involving data retrieval, calculations, or specific data points.
Agent 2 - Reasoning & Similarity Search
Handles questions requiring reasoning, logic, or similarity search within a large database of documents.
Business Value
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Effective Data Handling
Handles both structured data (for reasoning-based questions) and Excel data analysis, combining strengths of statistical insights and context-based answers.
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Faster Insights Generation
Answers are delivered quickly, saving time compared to manual analysis.
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Reduced Reliance on Data Analysts
Users gain direct access to insights, eliminating the need for analysts to filter data and create reports.
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Improved User Experience
User-friendly interface allows users to ask questions and gain insights with ease.
Flowchart
Here's a simplified flowchart depicting the user journey within the application:
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