7 个仓库
Integrated environments for building and managing context-aware AI applications.
Distinguishing note: Focuses on the full lifecycle of AI application development rather than just model training.
Explore 7 awesome GitHub repositories matching artificial intelligence & ml · AI Application Platforms. Refine with filters or upvote what's useful.
FastGPT is a comprehensive platform for building, deploying, and managing context-aware artificial intelligence applications. It provides a unified environment that integrates custom data sources with language models, utilizing a retrieval-augmented generation engine to ground responses in accurate, domain-specific information. The system is designed for enterprise-scale use, featuring multi-tenant architecture, administrative controls, and secure authentication protocols including OAuth 2.0 and custom single sign-on integration. The platform distinguishes itself through a visual, node-based
A comprehensive environment for building, deploying, and managing context-aware artificial intelligence applications using custom data sources.
This project is a TypeScript SDK and application framework for integrating large language models into software. It provides a unified interface and multi-provider model wrapper to interact with various AI model providers through a single, consistent API. The toolkit includes a generative UI framework and an AI agent orchestrator. These tools enable the creation of autonomous agents capable of executing functions and the development of AI-driven user interfaces with specialized state management for streaming chatbot components. The framework covers broad capability areas including stream-base
Facilitates the development of context-aware AI applications by integrating LLMs into TypeScript codebases.
CS-Base is a comprehensive educational platform and technical repository designed to support software engineers in mastering backend architecture, artificial intelligence engineering, and career development. It functions as a centralized knowledge hub that combines illustrated theoretical tutorials with practical, project-based learning to bridge the gap between foundational computer science concepts and professional industry requirements. The project distinguishes itself by integrating a robust career mentorship framework with advanced AI engineering resources. It provides users with tools f
Integrates model fine-tuning, vector-based knowledge retrieval, and efficient inference strategies to build production-grade AI applications.
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Enables users to create purpose-built applications to automate workflows and generate content.
Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Supports the development of lightweight, task-specific AI applications with defined branding and tone.
Google Cloud Go Client Library 是一套 Go 语言包和软件开发工具包,用于与 Google Cloud 平台服务及 API 进行交互。它为 Go 应用程序提供了通过简化的语言模式和自动化的 API 请求处理来集成云服务终端的主要途径。 该项目包含用于通过服务账号、API 密钥和基于环境的凭据解析来管理身份和访问权限的专用库。它还提供用于程序化资源编排以及部署和管理无服务器函数、容器化作业和可扩展 Web 服务的专用 SDK。 该库的覆盖范围涵盖了跨关系型数据库、NoSQL 和对象存储的云数据管理,以及虚拟机和容器的基础设施编排。它还通过日志捕获和错误跟踪,为生成式 AI 开发、大规模数据分析和云应用监控提供了工具。
Provides integrated environments and tools for building and managing context-aware generative AI applications.
Cult-UI is an AI application UI kit and a collection of accessible components and templates designed for building large language model powered interfaces and agent workflows. It provides a foundation for developing AI applications, including specialized interface libraries for retrieval-augmented generation and agent orchestration. The project distinguishes itself through dedicated UI building blocks for coordinating multi-agent systems, evaluator-optimizer loops, and tool-based execution flows. It also features a component installation CLI and model context protocols for rapidly integrating
Offers an integrated environment for building production-ready AI applications with authentication and payment systems.