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 este o bază de date graf distribuită și un motor de calcul conceput pentru stocarea și interogarea seturilor masive de date de noduri și muchii interconectate în clustere multi-mașină. Funcționează ca un strat de stocare graf scalabil și un magazin tranzacțional, oferind un framework pentru executarea sarcinilor de procesare graf la scară largă și a traversărilor profunde. Sistemul se distinge prin backend-ul său de stocare pluggable, care decuplează motorul graf de stratul de persistență fizică. Utilizează partiționarea datelor de tip vertex-cut pentru a echilibra sarcinile de procesare și un model de proprietăți set-cardinality care permite proprietăților unice să stocheze mai multe valori. Platforma acoperă o gamă largă de capabilități, inclusiv indexarea graf multi-model pentru căutări geografice și full-text, gestionarea globală a schemei pentru re-indexarea seturilor de date și operațiuni tranzacționale asigurate prin write-ahead logging. De asemenea, încorporează expirarea elementelor prin setări de tip time-to-live și monitorizarea performanței sistemului pentru urmărirea activității de interogare și a latenței tranzacțiilor.

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 este un motor de bază de date de tip graf ușor care utilizează SQLite pentru a persista noduri și muchii. Funcționează ca un motor de graf relațional prin maparea structurilor de graf în tabele standard de bază de date, permițând stocarea atât a datelor structurate, cât și a informațiilor flexibile, fără schemă, prin embedding de documente JSON. Sistemul oferă un utilitar pentru efectuarea de traversări complexe de grafuri și descoperirea de căi prin utilizarea expresiilor tabelare comune recursive. Această abordare permite explorarea conexiunilor profunde și a secvențelor de noduri conectate în rețeaua de date stocată. Proiectul suportă operațiuni standard de gestionare a datelor, inclusiv crearea, actualizarea și ștergerea înregistrărilor de graf. Toate interacțiunile sunt gestionate prin execuția de instrucțiuni pregătite (prepared statements) pentru a asigura manipularea consistentă și securizată a datelor în stocarea relațională subiacentă.