by stevereiner · MCP Server · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star
| Stars | 120 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 36.8/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-17 |
| Created | 2025-08-05 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~2384k |
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flexible-graphrag is Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or Llama. It is categorized as a MCP Server with 120 GitHub stars.
flexible-graphrag is primarily written in Python. It covers topics such as ai, ai-chat, alfresco.
You can find installation instructions and usage details in the flexible-graphrag GitHub repository at github.com/stevereiner/flexible-graphrag. The project has 120 stars and 27 forks, indicating an active community.
flexible-graphrag is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to flexible-graphrag on Agent Skills Hub include octocode, corpusos, haiku.rag. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.