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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
This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create a good dataset for QA system training, and achieve a scale which helps Neural Network based QA Systems too. We do this mostly by converting the query into a pseudo natural…
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
ApeRAG is a powerful RAG system that deeply analyzes documents and multimedia content while building vector indexes in parallel and measuring retrieval quality. It streamlines workflows with integrated LLM management, data source handling, automatic syncing, and seamless office tool compatibility.
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The main features of jaylzhou/graphrag are: GraphRAG Frameworks, Evaluation Benchmarks.
Open-source alternatives to jaylzhou/graphrag include: memgraph/memgraph — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management.… asknowqa/lc-quad — This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create… bibinprathap/veritasgraph — VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware… chensycn/agentic-rag — LogicRAG enables structured retrieval without building knowledge graphs on corpora. By constructing query logic… circlemind-ai/fast-graphrag — Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval… apecloud/aperag — ApeRAG is a powerful RAG system that deeply analyzes documents and multimedia content while building vector indexes in…