Records found: 5
Explore a hands-on tutorial on building intelligent multi-agent systems using the PEER pattern and Google Gemini AI, with detailed code and domain-specific examples.
Explore the development of a multi-node graph AI agent framework that automates complex tasks using Google Gemini API and Python, demonstrated through research and problem-solving agents.
Learn how to build a GPU-accelerated Ollama LangChain workflow with integrated RAG agents and multi-session chat memory management, including performance monitoring for efficient local LLM deployment.
Discover how to create a multi-agent AI research team using LangGraph and Google’s Gemini API that automates data collection, analysis, and report writing seamlessly.
Learn how to build an advanced multi-agent task automation system with Python, OpenAI API, and PrimisAI Nexus that coordinates agents for coding, analysis, and project planning.