by kbhujbal · Agent Tool · ★ 45
🌍 Multi-Agent RAG Travel Planner A sophisticated AI travel planning system that uses multiple specialized agents working together to create comprehensive, personalized travel itineraries. Built with CrewAI and featuring RAG (Retrieval-Augmented Generation) for up-to-date travel information. 🎯 Features Multi-Agent Architecture: 7 specialized AI agents collaborate to plan your trip RAG Implementation: ChromaDB vector database for retrieving travel knowledge Real-time Tools: Flight, hotel, and activity search capabilities (mock APIs, ready for production integration) Comprehensive Planning:...
| Stars | 45 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.328/100 |
| Last Updated | 2026-04-12 |
| Created | 2025-11-04 |
| Platforms | python |
| Est. Tokens | ~18k |
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Multi-Agent-AI-Travel-Advisor is AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-re. It is categorized as a Agent Tool with 45 GitHub stars.
Multi-Agent-AI-Travel-Advisor is primarily written in Python. It covers topics such as agentic-ai, crewai, genai-trip-coordinator.
You can find installation instructions and usage details in the Multi-Agent-AI-Travel-Advisor GitHub repository at github.com/kbhujbal/Multi-Agent-AI-Travel-Advisor. The project has 45 stars and 7 forks, indicating an active community.
Multi-Agent-AI-Travel-Advisor is released under the MIT license, making it free to use and modify according to the license terms.