Production-ready platform for agentic workflow development.
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Updated
Apr 29, 2026 - TypeScript
Production-ready platform for agentic workflow development.
The agent engineering platform
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
Universal memory layer for AI Agents
Build AI Agents, Visually
LlamaIndex is the leading document agent and OCR platform
AI低代码平台,支持「低代码 + 零代码」双模式:零代码 5 分钟搭建业务系统,低代码模式一键生成前后端代码。 内置AI 应用,支持AI聊天、知识库、流程编排、MCP与插件,支持各种模型。Skills能力实现:一句话画流程图、设计表单、生成系统。 引领 AI生成→在线配置→代码生成→手工合并的开发模式,解决Java项目80%的重复工作,快速提高效率,又不失灵活性。
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
AI Data Vault - A query engine for AI Agents to securely query data from any datasource
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
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