apecloud/ApeRAG
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 233 days ago, with 19 contributors on GitHub.
Peaked at #72 in the weekly ranking the week of Sep 28, its best in the past year.
Use Cases & Benefits
- Provides a production-ready Retrieval-Augmented Generation platform combining Graph RAG, vector, full-text, and multimodal search with intelligent AI agents.
- Enables hybrid retrieval and multimodal document processing with scalable Kubernetes deployment and enterprise-grade management features.
- Use for building and managing complex knowledge graphs with advanced entity normalization and graph-based retrieval.
- Use for deploying AI agents that autonomously search, reason, and interact with knowledge bases via Model Context Protocol integration.
- Use for processing and searching multimodal documents including images, charts, and scientific content with enhanced parsing and GPU acceleration.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo
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.
Before installing ApeRAG, make sure your machine meets the following minimum system requirements:
- CPU >= 2 Core
- RAM >= 4 GiB
- Docker & Docker Compose
ApeRAG supports MCP (Model Context Protocol) integration, allowing AI assistants to interact with your knowledge base directly. After starting the services, configure your MCP client with:
Important: Replace
http://localhost:8000with your actual ApeRAG API URL andyour-api-key-herewith a valid API key from your ApeRAG settings.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
148+2
Open issues
37+1
Compared with peers in Kubernetes
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| superplanehq/superplane | 8.8K | +435 | 60 | 7 days ago |
| aquasecurity/trivy | 39.0K | +204 | 45 | today |
| agentgateway/agentgateway | 6.0K | +183 | 60 | 9 days ago |
| argoproj/argo-cd | 24.6K | +58 | 60 | 1 day ago |
| cilium/cilium | 25.8K | +52 | 65 | 3 days ago |
| apecloud/ApeRAG | 1.3K | — | 24 | 233 days ago |
| Category median | 24.6K | +183 | 60 | — |
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