Neo4j Graph Database
Neo4j is an open-source graph database, implemented in Java.
Neo4j is an open-source graph database, implemented in Java.
Reviews for Neo4j Graph Database
Hear what real users highlight about this tool.
Makers consistently praise Neo4j for powering production-grade graph use cases. The makers of Vectorize highlight seamless semantic and graph search atop their knowledge graph pipelines. The makers of Byterover map programming concepts and relationships extracted from memories, noting smooth modeling. The makers of Layer cite strong handling of complex relationships for recommendations and social features. Users echo reliability, speed, and an intuitive interface. Reviewers also appreciate solid vector/BM25 search options, helpful documentation and support, and accessible startup-friendly programs.
This AI-generated snapshot distills top reviewer sentiments.
Neo4j is a key part of our knowledge graph solution. Vectorize pipelines take care of generating and maintaining the knowledge graph data, and Neo4j powers the semantic and graph searching.
One of the best graphdb
Using Neo4j as Minicule's graph database.
Neo4j's graph database made modeling complex workout relationships and user connections intuitive. Perfect for building a fitness community where everything connects.
Neo4j is the leading native graph database, optimized for connected data queries that outperform relational or document stores in relationship-heavy use cases. Its mature ecosystem, Cypher query language, and robust performance make it superior for knowledge graphs, fraud detection, and complex recommendation systems.
It was easy to adopt Neo4J in our stack along with its very flexible Cypher language
Neo4j provides the perfect foundation for setting up my knowledge base as a powerful graph, allowing me to effortlessly transpose complex relationships into an exceptional Retrieval-Augmented Generation (RAG) system. Compared to alternatives, Neo4j simplifies managing intricate data connections, significantly enhancing the accuracy and context-awareness of my AI applications.
Using Neo4j's cloud hosted database, Aura, has made our database management a breeze and the visualization capabilities are a feature I could not live without when reviewing new queries.
The graph nature of the database was especially important in figuring out how different companies connect together and where can a user fit between these companies
Neo4j’s graph database capabilities provided a powerful structure for mapping and managing user relationships and activity flows. Using Neo4j helped us enhance the social and community-driven aspects of the app, creating intuitive connections and seamless experiences across workouts and social interactions.
We use Neo4j to traverse relationship and the key storage for our GraphRAG
We build our own GraphRag tech with Neo4j. And We use Neo4j as the graph database for implementing our self-developed GraphRAG logic. At the same time, we also build our super-large-scale team-product graph based on it.
I'm using Neo4j as the database for uthupia.. It is the perfect use case for a Social Media App and I couldn't be more happy with developing with it. P.S. I'm using Neo4j Aura (if you're wondering).