What question did this study set out to answer?

To present a comprehensive collection of GraphRAG implementations for the AUGMANITAI Knowledge-Graph framework.

May 9, 2026Open Access

AUGMANITAI GraphRAG Variants — Microsoft + FalkorDB + HippoRAG + LangGraph + LazyGraphRAG + LlamaIndex + Benchmarks + Export

Key Points

To present a comprehensive collection of GraphRAG implementations for the AUGMANITAI Knowledge-Graph framework.
Compiled 37 files of major GraphRAG variants including Microsoft GraphRAG and FalkorDB.
Included various query and mapping techniques across multiple implementations like HippoRAG and LangGraph.
Established AUGMANITAI benchmark specifications and a standardized export format for graph databases.
Demonstrated enhanced community detection and hierarchical reporting capabilities in Microsoft GraphRAG.
Implemented personalized PageRank and synonym mapping in HippoRAG, improving relevance in query responses.
Provided benchmarks to assess performance across different GraphRAG systems, fostering better comparative analysis.

Abstract

Restricted bundle of 37 files covering all major GraphRAG implementations applied to AUGMANITAI Knowledge-Graph: Microsoft GraphRAG (community-detection, hierarchical reports, entities, relationships, settings), FalkorDB (Cypher init + query examples), HippoRAG (Personalized PageRank index + phrase-entity mapping + synonym mapping), LangGraph (state-graph definitions + checkpoint schemas + subgraph composition), LazyGraphRAG (lazy index + query-time expansion), LlamaIndex (property graph + KG triples + schema). Plus AUGMANITAI Benchmark (augmanitai-bench.json) and standardized graph-DB export (nodes/edges/Cypher/Gremlin/NetworkX). Strict-Wissenschaft, machine-readable graph-research-infrastructure.

AUGMANITAI GraphRAG Variants — Microsoft + FalkorDB + HippoRAG + LangGraph + LazyGraphRAG + LlamaIndex + Benchmarks + Export

Key Points

Abstract

Cite This Study