Galaxa AI
We build AI-Agents
Examples of AI Agents
Here are examples of AI agents we have developed. We have mastered the key methods for AI agent development and can customize solutions based on specific requirements.
AI Agent 1: Teachers’ Assistant
An AI-powered teaching assistant that leverages LLM tool calling to manage scheduling. It checks Google Calendar for availability, schedules classes, and creates Zoom meetings. Additionally, it provides insights and analytics on scheduled sessions.
AI Agent 2: Forum Assistant
the forum assistant structures and stores forum discussions in a knowledge graph, using LLMs to provide accurate, detailed, and continuously updated responses based on the accumulated knowledge.
AI Agent 3: Shopping Assistant
An AI-powered e-commerce platform that leverages LLM and Google Search to analyze user needs and usage scenarios, intelligently recommending the most suitable electronic products.
AI Agent 4: Modeling Assistant
A Modeling Agent for Technical Drawings is an AI tool that automatically creates precise technical drawings based on user prompts. It understands descriptions and converts them into detailed blueprints, schematics, or CAD designs, making drafting faster and easier for engineers, architects, and designers.
The AI-powered teaching assistant utilizes LLM's tool-calling capabilities to manage scheduling and coordination for educators. It integrates with Google Calendar to check teachers' availability, schedule classes upon student requests, insert sessions into the calendar, and automatically generate Zoom meetings with corresponding links. Additionally, it provides insights and statistical analysis on scheduled classes, streamlining administrative tasks for educators.
Educational
Teaching Assistant
the AI agent seamlessly integrates with Google Calendar to check the teacher’s availability. When a student requests a lesson, the agent automatically finds an open slot and schedules the class without manual intervention.
Automated Scheduling
Zoom Meeting Creation
Once a lesson is scheduled, the agent automatically generates a Zoom meeting link and inserts it into Google Calendar. This ensures that both teachers and students have direct access to the meeting details without extra setup.
Real-Time Lesson Management
The AI agent allows teachers to easily review their scheduled lessons. It can retrieve and display class details, such as upcoming sessions, past lessons, and attendance trends, providing valuable insights into teaching schedules.
Intelligent Statistical Analysis
By analyzing the stored lesson data, the agent can generate reports on teaching patterns, student participation, and scheduling efficiency. This helps educators optimize their time management and improve the overall teaching experience.
This E-commerce Shopping Assistant utilizes LLM and Google Search to understand user needs, preferences, and usage scenarios. By intelligently analyzing search results and product information, it identifies and recommends the most suitable electronic products for each customer. The system streamlines product discovery, ensuring users receive personalized and relevant recommendations based on their specific requirements.
E-Commerce Shopping Assistant
Knowledge Management
Assistant
The forum assistant systematically structures Q&A, discussions, and knowledge sharing within a forum. It leverages a knowledge graph (KG) for efficient storage, retrieval, and contextual linking. Using an LLM, it provides precise and context-aware responses based on accumulated knowledge. Continuously updating as new insights emerge, it ensures accurate, up-to-date answers, making the forum a more valuable and intelligent resource.
Comprehensive & Accurate Responses
By integrating the entire forum's knowledge, the assistant can generate responses that go beyond individual answers, offering well-rounded insights. It cross-references multiple discussions and Q&A threads, ensuring that responses are both precise and contextually relevant. This reduces redundancy and enhances the overall quality of information available to users.
Continuous Learning & Updating
The assistant automatically updates its knowledge base as new discussions, answers, and insights emerge on the forum. This ensures that responses remain current, reflecting the latest developments and user contributions. Unlike static FAQ systems, it evolves dynamically, adapting to changes in the forum’s collective knowledge over time.
Structured Knowledge Management
Utilizing a knowledge graph, the assistant organizes and connects forum content in a structured, relational format. This enables efficient retrieval of relevant information, better contextual understanding, and more meaningful responses. The structured approach also allows for scalable growth, making it easy to incorporate new topics and maintain a well-organized, accessible knowledge base.
