7 dépôts
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.
La bibliothèque cliente Google Cloud Go est un ensemble de paquets Go et un kit de développement logiciel utilisé pour interagir avec les services et API de la plateforme Google Cloud. Elle fournit le moyen principal pour les applications Go de s'intégrer aux points de terminaison des services cloud via des modèles de langage simplifiés et une gestion automatisée des requêtes API. Le projet propose des bibliothèques spécialisées pour gérer l'identité et l'accès via des comptes de service, des clés API et la résolution d'informations d'identification basées sur l'environnement. Il inclut des SDK dédiés pour l'orchestration programmatique des ressources et le déploiement et la gestion de fonctions serverless, de jobs conteneurisés et de services web évolutifs. La surface de capacité de la bibliothèque couvre la gestion des données cloud à travers le stockage relationnel, NoSQL et objet, ainsi que l'orchestration d'infrastructure pour les machines virtuelles et les conteneurs. Elle fournit également des outils pour le développement d'IA générative, l'analyse de données à grande échelle et la surveillance des applications cloud via la capture de logs et le suivi des erreurs.
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.