Title: Code-Graph-RAG
Description: Graph-based RAG system that parses multi-language codebases with Tree-sitter, builds knowledge graphs, and enables natural language querying, editing, and optimization.
Generator: mkdocs-1.6.1, mkdocs-material-9.7.3
Domain: docs.code-graph-rag.com
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Code-Graph-RAG",
"description": "Graph-based RAG system that parses multi-language codebases with Tree-sitter, builds knowledge graphs, and enables natural language querying, editing, and optimization.",
"applicationCategory": "DeveloperApplication",
"operatingSystem": "Linux, macOS, Windows",
"url": "https://docs.code-graph-rag.com",
"downloadUrl": "https://pypi.org/project/code-graph-rag/",
"softwareRequirements": "Python 3.12+, Docker",
"license": "https://opensource.org/licenses/MIT",
"author": {
"@type": "Person",
"name": "Vitali Avagyan",
"url": "https://github.com/vitali87"
},
"codeRepository": "https://github.com/vitali87/code-graph-rag",
"programmingLanguage": "Python",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
}
}
| author | Vitali Avagyan |
Links:
Viewport: width=device-width,initial-scale=1