ApeRAG

by apecloud · Python · ★ 1,203

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

#agents#context-engineering#graphrag#knowledge-graph#mcp

Install

pip install git+https://github.com/apecloud/ApeRAG.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "aperag": {
      "command": "uvx",
      "args": [
        "git+https://github.com/apecloud/ApeRAG.git"
      ]
    }
  }
}

From the README

[](https://archestra.ai/mcp-catalog/apecloud__aperag) ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management features. ApeRAG is the best choice for building your own Knowledge Graph, Context Engineering, and deploying intelligent AI agents that can autonomously search and reason across your knowledge base. [阅读中文文档](README-zh.md) - [Quick Start]…

Read full README on GitHub →

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