Build Talking AI MultiAgent with Ollama, Llama 3, LangChain, CrewAI & ElevenLabs from YouTube Videos
AI Summary
In this video, the presenter demonstrates how to build a talking AI multi-agent system tailored for first-time travelers to Amsterdam using tools like CrewAI, Langchain, Ollama, Llama, ElevenLabs, and Hugging Face. The workflow involves fetching and processing YouTube videos to extract transcripts which serve as a knowledge base. The presenter explains how to filter relevant videos based on views, extract transcripts, and leverage Dense Passage Retrieval (DPR) to find pertinent information for common travel questions. The system then summarizes this information using Llama and generates responses to frequently asked questions by potential tourists such as transportation options, safety, and unique experiences in the city. The video emphasizes the building blocks of AI agents, showcasing the use of vector databases for efficient information retrieval and the integration of text-to-speech capabilities to create an interactive travel guide.