Implementation of a Multi-Agentic Workflow: Travel Advisor

What is Multi-Agentic Travel Advisor?

The Multi-Agentic Travel Advisor establishes a fundamental understanding of multi-agentic workflows within AI-Builder. This pipeline integrates simple API calls, tool invocation, and protobuf definitions to create a well-structured and orchestrated AI workflow for travel planning. This system aims to enable ongoing, dynamic travel interactions—starting from the initial planning phase and extending to post-trip experiences.

This framework can coordinate multiple AI agents to handle tasks such as:

• Destination discovery
• API integrations
• Real-time itinerary adjustments
• Local recommendations
• Post-trip feedback collection and analysis

A initial version of the workflow is as shown below,

System Design

Tasks

• Implement Bidirectional Pipeline (Ref. Sudoku Solver)
• Implement the Chatbot -> Planner -> Agent workflow
• Tool Retrieval Mechanisms
• Investigate and implement retrieval strategies such as: (Top-k Search, Graph-based sampling, Enhanced NLP techniques, Decision trees)
• Toolset Exploration
• Identify relevant tools for the use case
• Explore open-source API hubs for possible integrations
• Prompting Approaches
• Test and refine various complex prompts to improve system responses
• Automated Function Generation
• Develop a mechanism to auto-generate functions based on: The API structure and The required JSON output format
• Planner & Agent Orchestration Enhancements
• Improve multi-agent coordination using advanced techniques like: Chain-of-thought reasoning, Tree-mapping