GraphRAG combines knowledge graphs with Retrieval-Augmented Generation (RAG), enabling you to build GenAI applications that deliver more accurate, relevant, and explainable results. Learn How. Get tutorials, GitHub repositories, drivers, and code examples. Everything you need to get started with Neo4j.

A Neo4j graph database stores data as nodes, relationships, and properties instead of in tables or documents. This means you can organize your data in a similar way as when sketching ideas on a whiteboard.

Battle tested for performance, Neo4j Graph Database is the only graph database that is trusted by enterprises for its speed, security, and scalability to support the most challenging transactional and analytical workloads.

Neo4j根据您的需求为我们提供了四种不同的最终结果: graph; table; text; code; 图形graph显示了节点之间的可视化以及节点之间的关系。 Table以表格形式显示每个节点的标签、属性等信息。 另一方面，Text显示整个查询输出，就像您在查询SQL数据库时看到的那样。

While there are other graph algorithm libraries and solutions, we’ve chosen to focus on the graph algorithms in the Neo4j platform. However, you'll find this guide helpful for understanding more general graph concepts regardless of what graph technology you use.

Neo4j is a graph database that stores data in a graph. Data is stored as nodes and relationships instead of tables or documents. Graph databases are particularly useful when the connections between data are as important as the data itself .

2024年6月24日 · 本文详细介绍了如何利用Neo4j Aura和Neo4j Desktop来存储向量索引，并在LangChain框架的辅助下，构建出高效的RAG应用。 使用 Neo4j 和 LangChain 集成非结构化知识图增强 QA

Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes, edges connecting them, and attributes of nodes and edges.

2024年7月5日 · Neo4j is a powerful, high-performance, open-source graph database that enables the efficient management and querying of highly connected data. Unlike traditional relational databases, Neo4j uses graph structures to represent and store data, making it uniquely suited for applications involving complex relationships and dynamic, interconnected data.

In the Cypher Fundamentals course you will learn more about reading and writing data to Neo4j. In the next module you will learn how to get started with Neo4j and explore the Neo4j ecosystem.