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A comprehensive tutorial on AI agent principles and practice, systematically covering core concepts, framework usage and hands-on projects.
A comprehensive tutorial on AI agent principles and practice, systematically covering core concepts, framework usage and hands-on projects.
A local knowledge base RAG and Agent application platform built on Langchain with support for ChatGLM, Qwen, Llama and other LLMs, offering conversation, knowledge base management, and agent capabilities.
The easiest way to use Agentic RAG in any enterprise. Provides out-of-the-box retrieval-augmented generation capabilities with Docker-based deployment for simplified enterprise RAG application building and management.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases with practical examples and tutorials.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.