Neo4j Graph Platform
GenAI With the breakthrough of large language models, adding generative AI capabilities to your applications is now possible for every developer. Neo4j’s knowledge graph grounds LLM responses in validated facts using retrieval augmented generation (RAG). Cluster Scalable and highly available Neo4j production installation run in causal clusters. Those guarantee fail-over and load balancing using smart clients. Consistency is guaranteed with the RAFT protocol and by using bookmarks and write quorums. Or just run Neo4j in Production on Aura ETL-Tool Questions around ETL with Neo4j. For bugs please raise a GH issue Visualization Graph Models of connected data lend themselves very well to visualization to gain new insights. Using tools like Neo4j Bloom, Neo4j Browser or dedicated libraries (open-source and commercial) you can get a lot of information out of these. Neo4j Operations Manager (NOM) The Neo4j Ops Manager helps your database engineering team monitor and administer Neo4j databases across clusters and instances, deployed on premises or in the cloud Server Questions around Neo4j Server. Esp. the Bolt and HTTP endpoints, configuration issues that don't fit into #neo4j-graph-platform:operations. Or just run Neo4j in Production on Aura Browser The Neo4j Browser is a developer tool to write and execute Cypher queries. It helps with profiling, testing and visualization. Neo4j Browser is a React application that uses the Neo4j Javascript driver and comes out of the box with every Neo4j installation, e.g. Desktop, Cloud, Sandbox. Operations Operating Neo4j in production has many aspects, from security, monitoring, optimization. Topics like #neo4j-graph-platform:cluster and #neo4j-graph-platform:installation are covered separately. Or relax by running Neo4j in Production on Aura Modeling Coming from other database backgrounds, data modeling in a graph differs and it pays off to learn about it. Neo4j Bloom Neo4j Bloom allows for interactive graph exploration | Docs | GitHub issues | Feature Requests Aura & Cloud Neo4j Aura is the simplest way to run Neo4j in the cloud. Fully-managed you can start for free. Installation Neo4j can be run on any number of platforms (Windows, Linux, OSX), from cloud environments, on-premise servers, laptops, even raspberry-pi. It supports container environments like Docker and orchestration tools like Kubenetes. Or just run Neo4j for free on Aura Cypher Questions around Cypher Syntax, Performance, Optimization and openCypher and GQL (Graph Query Language) Desktop Neo4j Desktop is the Electron based UI for Neo4j that allows you to create and manage databases, install plugins like APOC, Graph Algorithms and GraphQL and install and run Graph Apps like Neo4j Bloom, Neo4j-ETLs and others going forward: Procedures & APOC You can use user-defined procedures and functions to extend Neo4j. If you run into a bug please file a GitHub issue Import / Export Importing data into your graph is one of your first activities. Make sure to think about your graph model first before you dive into the import and check out the resources below: Graph Algorithms/Graph Data Science We've built a dedicated graph data science library for Neo4j that you can install via Neo4j Desktop, Docker or Sandbox for clustering, path-finding, centrality analytics, machine learning and model training.
