Graph-Native Infrastructure for Context and Accountable AI Systems
📚 RAG и базы знаний
Генерация с дополнением поиском, вопросы и ответы по базе знаний, эмбеддинги и реранкинг
Все 1045🧠 Большие языковые модели 24🤖 ИИ-агенты 162🧩 Платформы разработки приложений 22📚 RAG и базы знаний 48💬 Чат-интерфейсы и клиенты 40🖥️ Локальный инференс и развёртывание 88👨💻 ИИ для программирования 97🛠️ Фреймворки и SDK 47🔌 MCP и экосистема инструментов 36🎨 Генерация изображений 26🎬 Генерация видео 17🎙️ Речь и аудио 45👁️ Компьютерное зрение 26📄 Разбор документов и парсинг 25🗄️ Векторные базы данных 25🏋️ Обучение, дообучение и MLOps 71🧪 Оценка, наблюдаемость и безопасность 79🚪 API-шлюзы и прокси 12🔎 Поиск и глубокие исследования 15⚙️ Библиотеки глубокого обучения 58🏷️ Данные и разметка 32🔬 ИИ для отраслей и науки 34⚡ Инструменты для повышения продуктивности 16
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including
一体化的嵌入数据库，含语义搜索、LLM 编排与工作流。
蚂蚁的专业领域知识增强生成框架，基于 OpenSPG 引擎。
带 RESTful API 的生产级 RAG 系统，支持多模态与知识图谱。
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
A blazing fast inference solution for text embeddings models
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
小巧易改的 GraphRAG 实现，便于学习和二次开发。
Superfast AI decision making and intelligent processing of multi-modal data.
Open-source multimodal retrieval engine (Morphik Core)
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Research project. A Memory solution for users, teams, and applications.
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both — built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trust networking, observabi
Your First LLM-Wiki Conversation Knowledge Base
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language querie