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2 个仓库

Awesome GitHub RepositoriesPath Generation

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.

Awesome Path Generation GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • memgraph/memgraphmemgraph 的头像

    memgraph/memgraph

    4,163在 GitHub 上查看↗

    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.

    C++cyphergraphgraph-algorithms
    在 GitHub 上查看↗4,163
  • falkordb/falkordbFalkorDB 的头像

    FalkorDB/FalkorDB

    3,437在 GitHub 上查看↗

    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.

    Ccloud-databasedatabasedatabase-as-a-service
    在 GitHub 上查看↗3,437
  1. Home
  2. Data & Databases
  3. Graph Data Models
  4. Path Generation

探索子标签

  • Multi-Hop TraversalsNavigating through multiple consecutive relationships to discover deep connections. **Distinct from Path Generation:** Focuses on the act of traversing multiple hops for reasoning, rather than the generation of the path structure.