Awesome GitHub RepositoriesGraph Data Modifiers

Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries

Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and autonomous agent workflows. It provides a comprehensive suite of tools for benchmarking system outputs, utilizing language models as automated judges to score performance against defined rubrics and reference data. By standardizing inputs, retrieved contexts, and generated responses into a unified schema, the project enables consistent analysis across complex AI applications. The framework distinguishes itself through its ability to generate synthetic test datasets from existin

This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad

Titan est une base de données de graphes distribuée et un moteur de calcul conçu pour stocker et interroger des jeux de données massifs de nœuds et d'arêtes interconnectés à travers des clusters multi-machines. Il fonctionne comme une couche de stockage de graphes évolutive et un magasin transactionnel, fournissant un framework pour exécuter des tâches de traitement de graphes à grande échelle et des traversées profondes. Le système se distingue par son backend de stockage enfichable, qui découple le moteur de graphe de la couche de persistance physique. Il utilise un partitionnement de données par coupe de sommets (vertex-cut) pour équilibrer les charges de traitement et un modèle de propriété à cardinalité d'ensemble qui permet à des propriétés uniques de stocker plusieurs valeurs. La plateforme couvre un large éventail de capacités, incluant l'indexation de graphes multi-modèles pour les recherches géographiques et en texte intégral, la gestion de schéma globale pour la réindexation des jeux de données, et des opérations transactionnelles assurées par journalisation write-ahead. Elle incorpore également l'expiration d'éléments via des paramètres de durée de vie (TTL) et une surveillance de la performance système pour suivre l'activité des requêtes et la latence des transactions.

Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution

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

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

Helix DB is a distributed graph database and knowledge graph platform that persists nodes and edges on object storage for durable and unlimited scaling. It operates as an ACID-compliant system, ensuring data consistency through serializable snapshot isolation during concurrent operations. The project distinguishes itself by combining a vector search engine and a property graph, utilizing hybrid vector and full-text search to locate entry points for graph traversals. It enables dynamic graph querying through a domain-specific language, allowing complex logic and recursive queries to be execute

Jet is a schema-driven code generation tool and type-safe SQL builder for Go. It introspects database schemas to automatically generate builders and data models, enabling compile-time type checking for table and column references to prevent runtime errors. The project distinguishes itself through a fluent interface that mirrors native SQL syntax, allowing for the orchestration of complex queries including common table expressions, recursive queries, and nested JSON structures. It further optimizes data retrieval by binding query outputs directly into generated Go structures or raw byte slices

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

BloodHound is an identity risk management platform and graph-based attack path analyzer used to map identity relationships and permissions in Active Directory. It functions as a security tool for auditing directory services, uncovering unintended privilege relationships, and visualizing sequences of permissions that can lead to domain compromise. The project differentiates itself as a comprehensive adversary emulation framework that coordinates remote agents and executes post-exploitation commands. It includes a reverse proxy for bypassing multi-factor authentication via real-time session hij

Simple Graph est un moteur de base de données de graphes léger qui utilise SQLite pour persister les nœuds et les arêtes. Il fonctionne comme un moteur de graphe relationnel en mappant les structures de graphes dans des tables de base de données standard, permettant le stockage à la fois de données structurées et d'informations flexibles sans schéma grâce à l'intégration de documents JSON. Le système fournit un utilitaire pour effectuer des traversées de graphes complexes et la découverte de chemins en tirant parti des expressions de table communes récursives. Cette approche permet l'exploration de connexions profondes et de séquences de nœuds connectés au sein du réseau de données stocké. Le projet prend en charge les opérations de gestion de données standard, y compris la création, la mise à jour et la suppression d'enregistrements de graphes. Toutes les interactions sont gérées par l'exécution d'instructions préparées pour garantir une manipulation cohérente et sécurisée des données au sein du stockage relationnel sous-jacent.