2 repositorios
Creation of complex sequences of interconnected nodes and edges to model multi-step relationships.
Distinct from Graph Data Models: Focuses on the instantiation of multi-hop paths, whereas Graph Data Models is the general storage architecture.
Explore 2 awesome GitHub repositories matching data & databases · Path Generation. 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
Provides high-performance navigation of multi-hop paths through interconnected graph data.
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
Executes complex multi-hop traversals using linear algebra to derive insights from interconnected data.