Deep Agent - Multi Agent RAG with Gemini and Langchain

The Deep Agent course by KGP Talkie provides a comprehensive deep dive into the evolving ecosystem of AI agents, moving beyond simple chatbots to architecting complex, autonomous multi-agent systems. This curriculum is meticulously designed for developers who want to harness the power of LangChain v1, Google Gemini 3, and the Model Context Protocol (MCP) to solve real-world automation challenges. By integrating advanced tools like Qdrant for vector retrieval and Docling for sophisticated multimodal document processing, the course addresses the core difficulty of handling unstructured data such as dense financial reports, complex tables, and high-resolution images. Students gain practical experience in building production-ready architectures that leverage hybrid search, memory management, and cost-optimized context caching. What sets this course apart is its emphasis on multi-agent collaboration, teaching learners how to orchestrate specialized roles like research and editor agents to automate multi-step workflows. Whether you are looking to build autonomous research bots or enterprise-grade data extraction pipelines, this program bridges the gap between theoretical RAG concepts and the reality of deploying scalable, multi-modal AI agents in modern cloud environments using Docker.