awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 repositorios

Awesome GitHub RepositoriesGraph Statistics Retrieval

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.

Awesome Graph Statistics Retrieval GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • memgraph/memgraphAvatar de memgraph

    memgraph/memgraph

    4,163Ver en GitHub↗

    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.

    C++cyphergraphgraph-algorithms
    Ver en GitHub↗4,163
  • falkordb/falkordbAvatar de FalkorDB

    FalkorDB/FalkorDB

    3,437Ver en GitHub↗

    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.

    Ccloud-databasedatabasedatabase-as-a-service
    Ver en GitHub↗3,437
  1. Home
  2. Data & Databases
  3. Graph Statistics Retrieval