Building RAG Applications with LangGraph: Multiple Local LLMs and LangServe Authentication

Learn to build a local Multi-Agent system using LangGraph with multiple LLMs in this Spanish-language video tutorial. Explore the implementation of a RAG system using Chroma as a Vector Store with Nomic.ai embeddings, while leveraging local models including Llama 3.2 3B, LLama 3 8B, and DeepSeek R1 1.5B in GGUF int4 format. Master the deployment of the agent using LangServe, including the creation of authenticated access points with token-based authentication and authentication headers. Access the complete implementation through the provided GitHub repository, which builds upon previous tutorials covering LangServe RAG and local agent creation with Llama models.