by apecloud · MCP 服务器 · ★ 1.2k
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.
| Stars | 1,156 |
| Forks | 129 |
| Language | Python |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 36.75/100 |
| Open Issues | 27 |
| Last Updated | 2026-05-01 |
| Created | 2023-06-20 |
| Platforms | mcp, python |
| Est. Tokens | ~3157k |
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ApeRAG is ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment. It is categorized as a MCP 服务器 with 1.2k GitHub stars.
ApeRAG is primarily written in Python. It covers topics such as agents, context-engineering, graphrag.
You can find installation instructions and usage details in the ApeRAG GitHub repository at github.com/apecloud/ApeRAG. The project has 1.2k stars and 129 forks, indicating an active community.
ApeRAG is released under the Apache-2.0 license, making it free to use and modify according to the license terms.