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This project is a structured educational resource and technical guide for designing and implementing autonomous systems using large language models. It provides a comprehensive curriculum and code samples focused on agentic design patterns, autonomous development, and the creation of systems capable of planning and executing multi-step tasks. The resource details the implementation of agentic retrieval-augmented generation, where models autonomously plan and refine data searches. It covers a wide array of orchestrators and design patterns, including metacognitive reflection for self-correctin

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

Copilot 是一个自托管的客户支持平台，使用大语言模型（LLM）和向量化知识库来自动化用户协助。该系统由用于网站集成的可嵌入 AI 聊天小部件、容器化管理仪表板和向量数据库知识库组成。 该平台包含一个 API 编排器，用于处理结构化的 API 规范，允许语言模型与外部端点和操作进行交互。它通过在向量数据库中索引 API 定义和文档来管理响应的专门上下文。 该基础设施涵盖了用于服务器和后台工作进程的容器化服务编排、基于队列的异步处理，以及用于监控实时用户交互的管理界面。该系统还处理数据库模式迁移和知识索引。