★ 112 stars
Python
🤖 AI/LLM
Updated 1mo ago
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
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Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Add to claude_desktop_config.json:
{
"mcpServers": {
"flexible-graphrag": {
"command": "uvx",
"args": [
"flexible-graphrag"
]
}
}
}
Run in terminal:
claude mcp add flexible-graphrag uvx flexible-graphrag
Add to .cursor/mcp.json:
{
"mcpServers": {
"flexible-graphrag": {
"command": "uvx",
"args": [
"flexible-graphrag"
]
}
}
}
Or install with pip: pip install flexible-graphrag
Topics
aiai-chatalfrescoarcadedbdoc-processingdoclingfalkordbgenerative-aigraphraghybrid-searchknowledge-graphllamaindexllamaparsellmmcp