#Cypher
Showing 22 of 22 repositories tagged #cypher, ranked by stars
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
TuGraph: A High Performance Graph Database.
Neo4j GraphRAG for Python
Neo4j Bolt driver for Python
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages.
Graph-based security analysis for everyone
Rust driver for Neo4j
Graph database native to the cloud. Embedded, multi-tenant, built on object storage.
Helm Charts for running Neo4j on Kubernetes [DEPRECATED]
Machine Learning Procedures and Functions for Neo4j
Neo4j Tableau Integration via WDC
The open-source adapter for working with neo4j graphs and cypher queries in jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.
Simple but sharp ransomware
Create and interact with Knowledge Graphs using Generative AI
Lightweight in-memory knowledge graph with Cypher query support
Learn to use Memgraph with the help of Jupyter Notebooks
command line utilities for cypher v3, including market making and liquidating