2 repositorios
Tools for collecting structural and quantitative metadata across a graph.
Distinct from Graph-Based Retrieval Engines: Shortlist focuses on AI retrieval (RAG); this is about quantitative database statistics and metadata.
Explore 2 awesome GitHub repositories matching data & databases · Graph Statistics Retrieval. Refine with filters or upvote what's useful.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
Collects graph-wide statistics using full traversals or optimized trigger-based systems.
FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut
Offers tools for collecting structural and quantitative metadata, such as record counts for labels and edges.