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new 88ad859d3 doc: update Quick Start & Architecture in README (#2947)
88ad859d3 is described below
commit 88ad859d3eb204b735f6778195750e8a2cbe8c78
Author: imbajin <[email protected]>
AuthorDate: Mon Feb 2 17:31:17 2026 +0800
doc: update Quick Start & Architecture in README (#2947)
* doc: TOC, Quick Start, Architecture
Overhaul README to improve developer onboarding and documentation. Adds a
Table of Contents, Quick Start (TL;DR + detailed Docker, binary, and
build-from-source instructions), verification steps, and a Module Map. Expands
Features into bullet points and introduces detailed Architecture sections
including ASCII and Mermaid diagrams, a deployment comparison table, and module
overview. Adds contributor guidance, community/contact info, and ecosystem
links. Also updates .serena/project.ym [...]
---
.serena/project.yml | 23 +++-
README.md | 381 ++++++++++++++++++++++++++++++++++++++++++++--------
2 files changed, 348 insertions(+), 56 deletions(-)
diff --git a/.serena/project.yml b/.serena/project.yml
index 5db60ba6b..16ccb1169 100644
--- a/.serena/project.yml
+++ b/.serena/project.yml
@@ -79,6 +79,27 @@ excluded_tools: []
# initial prompt for the project. It will always be given to the LLM upon
activating the project
# (contrary to the memories, which are loaded on demand).
initial_prompt: ""
-
+# the name by which the project can be referenced within Serena
project_name: "server"
+
+# list of tools to include that would otherwise be disabled (particularly
optional tools that are disabled by default)
included_optional_tools: []
+
+# list of mode names to that are always to be included in the set of active
modes
+# The full set of modes to be activated is base_modes + default_modes.
+# If the setting is undefined, the base_modes from the global configuration
(serena_config.yml) apply.
+# Otherwise, this setting overrides the global configuration.
+# Set this to [] to disable base modes for this project.
+# Set this to a list of mode names to always include the respective modes for
this project.
+base_modes:
+
+# list of mode names that are to be activated by default.
+# The full set of modes to be activated is base_modes + default_modes.
+# If the setting is undefined, the default_modes from the global configuration
(serena_config.yml) apply.
+# Otherwise, this overrides the setting from the global configuration
(serena_config.yml).
+# This setting can, in turn, be overridden by CLI parameters (--mode).
+default_modes:
+
+# fixed set of tools to use as the base tool set (if non-empty), replacing
Serena's default set of tools.
+# This cannot be combined with non-empty excluded_tools or
included_optional_tools.
+fixed_tools: []
diff --git a/README.md b/README.md
index f591f51de..c027cda43 100644
--- a/README.md
+++ b/README.md
@@ -14,6 +14,12 @@
</div>
+---
+
+**Quick Navigation:** [Architecture](#architecture) • [Quick
Start](#quick-start) • [Module Map](#module-map) • [Ecosystem](#ecosystem) •
[For Contributors](#for-contributors) • [Community](#community)
+
+---
+
## What is Apache HugeGraph?
[HugeGraph](https://hugegraph.apache.org/) is a fast and highly-scalable
[graph database](https://en.wikipedia.org/wiki/Graph_database).
@@ -23,96 +29,361 @@ achieved through the powerful
[Gremlin](https://tinkerpop.apache.org/gremlin.htm
## Features
-- Compliant to [Apache TinkerPop 3](https://tinkerpop.apache.org/), supports
[Gremlin](https://tinkerpop.apache.org/gremlin.html) &
[Cypher](https://en.wikipedia.org/wiki/Cypher_(query_language)) language
-- Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey
and IndexLabel
-- Multi-type Indexes, supporting exact query, range query and complex
conditions combination query
-- Plug-in Backend Store Framework, mainly support `RocksDB`/`HStore` + `HBase`
for now and you could choose other backends in the [legacy
version](https://hugegraph.apache.org/docs/download/download/) ≤ `1.5.0` (like
`MySQL/PG`/`Cassandra` ...)
-- Integration with `Flink/Spark/HDFS`, and friendly to connect other big data
platforms
-- Complete graph ecosystem (including both in/out-memory `Graph Computing` +
`Graph Visualization & Tools` + `Graph Learning & AI`, see
[here](#3-build-from-source))
+- **Schema Metadata Management**: VertexLabel, EdgeLabel, PropertyKey, and
IndexLabel
+- **Multi-type Indexes**: Exact query, range query, and complex conditions
combination query
+- **Plug-in Backend Store Framework**: Mainly supports `RocksDB`/`HStore` +
`HBase`; other backends available in [legacy
versions](https://hugegraph.apache.org/docs/download/download/) ≤ `1.5.0`
(MySQL/PostgreSQL/Cassandra...)
+- **Big Data Integration**: Seamless integration with `Flink`/`Spark`/`HDFS`
+- **Complete Graph Ecosystem**: In/out-memory Graph Computing + Graph
Visualization & Tools + Graph Learning & AI
+- **Dual Query Language Support**:
[Gremlin](https://tinkerpop.apache.org/gremlin.html) (via [Apache TinkerPop
3](https://tinkerpop.apache.org/)) and
[Cypher](https://en.wikipedia.org/wiki/Cypher_(query_language)) (OpenCypher)
+
+## Ecosystem
+
+Complete **HugeGraph** ecosystem components:
+
+1. **[hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain)** -
Graph tools suite
+ -
[Loader](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-loader)
- Data import tool
+ -
[Dashboard](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-hubble)
- Web visualization platform
+ -
[Tool](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-tools)
- Command-line utilities
+ -
[Client](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-client)
- Java/Python client SDK
+
+2. **[hugegraph-computer](https://github.com/apache/hugegraph-computer)** -
Integrated **graph computing** system
+
+3. **[hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai)** -
**Graph AI/LLM/Knowledge Graph** integration
+
+4. **[hugegraph-website](https://github.com/apache/hugegraph-doc)** -
**Documentation & website** repository
## Architecture
HugeGraph supports both **standalone** and **distributed** deployments:
-| Module | Description
|
-|----------------------------------------|-----------------------------------------------------------------------------------------------------------|
-| [hugegraph-server](hugegraph-server) | Core graph engine with REST API,
Gremlin/Cypher support, and pluggable backends (RocksDB default) |
-| [hugegraph-pd](hugegraph-pd) | Placement Driver for distributed
mode - handles meta storage, partition management and cluster scheduling |
-| [hugegraph-store](hugegraph-store) | Distributed storage with Raft
consensus for high availability and horizontal scaling |
-| [hugegraph-commons](hugegraph-commons) | Shared utilities, RPC framework and
common components |
+```
+ ┌─────────────────────────────────────────────────────┐
+ │ Client Layer │
+ │ Gremlin Console │ REST API │ Cypher │ SDK/Tools │
+ └─────────────────────────┬───────────────────────────┘
+ │
+ ┌─────────────────────────▼───────────────────────────┐
+ │ HugeGraph Server (:8080) │
+ │ ┌──────────┐ ┌──────────┐ ┌──────────────────┐ │
+ │ │ REST API │ │ Gremlin │ │ Cypher Engine │ │
+ │ │(Jersey 3)│ │ (TP 3.5) │ │ (OpenCypher) │ │
+ │ └────┬─────┘ └────┬─────┘ └────────┬─────────┘ │
+ │ └─────────────┼─────────────────┘ │
+ │ ┌────────▼────────┐ │
+ │ │ Graph Engine │ │
+ │ │(hugegraph-core) │ │
+ │ └────────┬────────┘ │
+ └─────────────────────┼───────────────────────────────┘
+ │
+
┌────────────────────────────────┼────────────────────────────────┐
+ │ │
│
+┌────────────▼────────────┐ ┌───────────────▼───────────────┐
┌───────────▼──────────┐
+│ Standalone Mode │ │ Distributed Mode │ │ Legacy
Backends │
+│ ┌───────────────────┐ │ │ ┌─────────────────────────┐ │ │
(≤v1.5) │
+│ │ RocksDB │ │ │ │ HugeGraph-PD │ │ │ MySQL │
PostgreSQL │
+│ │ (embedded) │ │ │ │ (Raft, 3-5 nodes) │ │ │ Cassandra
│
+│ └───────────────────┘ │ │ │ :8620/:8686 │ │ │ HBase
(≤v1.7) │
+│ │ │ └────────────┬────────────┘ │
└──────────────────────┘
+│ Use Case: │ │ │ │
+│ Development/Testing │ │ ┌────────────▼────────────┐ │
+│ Single Node │ │ │ HugeGraph-Store │ │
+│ │ │ │ (Raft + RocksDB) │ │
+│ Data Scale: < 1TB │ │ │ (3+ nodes) :8520 │ │
+└─────────────────────────┘ │ └─────────────────────────┘ │
+ │ │
+ │ Use Case: │
+ │ Production/HA/Cluster │
+ │ │
+ │ Data Scale: < 1000 TB │
+ └───────────────────────────────┘
+```
+
+### Deployment Mode Comparison
+
+| Mode | Components | Use Case | Data Scale | High Availability |
+|------|------------|----------|------------|-------------------|
+| **Standalone** | Server + RocksDB | Development, Testing, Single Node | <
1TB | Basic |
+| **Distributed** | Server + PD (3-5 nodes) + Store (3+ nodes) | Production,
HA, Horizontal Scaling | < 1000 TB | Yes |
+
+### Module Overview
+
+| Module | Description |
+|--------|-------------|
+| [hugegraph-server](hugegraph-server) | Core graph engine with REST API,
Gremlin/Cypher support, and pluggable backends (RocksDB default) |
+| [hugegraph-pd](hugegraph-pd) | Placement Driver for distributed mode -
handles meta storage, partition management and cluster scheduling |
+| [hugegraph-store](hugegraph-store) | Distributed storage with Raft consensus
for high availability and horizontal scaling |
+| [hugegraph-commons](hugegraph-commons) | Shared utilities, RPC framework and
common components |
+
+<details>
+<summary><b>📊 Click to view detailed architecture diagram
(Mermaid)</b></summary>
+
+```mermaid
+flowchart TB
+ subgraph Clients["Client Layer"]
+ GC[Gremlin Console]
+ REST[REST Client]
+ CYPHER[Cypher Client]
+ SDK[SDK/Tools]
+ end
+
+ subgraph Server["HugeGraph Server :8080"]
+ API[REST API<br/>Jersey 3]
+ GS[Gremlin Server<br/>TinkerPop 3.5]
+ CS[Cypher Engine<br/>OpenCypher]
+ CORE[Graph Engine<br/>hugegraph-core]
+
+ API --> CORE
+ GS --> CORE
+ CS --> CORE
+ end
+
+ subgraph Storage["Storage Layer"]
+ subgraph Standalone["Standalone Mode"]
+ ROCKS[(RocksDB<br/>Embedded)]
+ end
+
+ subgraph Distributed["Distributed Mode"]
+ PD[HugeGraph-PD<br/>Raft Cluster<br/>:8620/:8686]
+ STORE[HugeGraph-Store<br/>Raft + RocksDB<br/>:8520]
+ PD <--> STORE
+ end
+
+ subgraph Legacy["Legacy Backends (≤v1.5)"]
+ MYSQL[(MySQL)]
+ PG[(PostgreSQL)]
+ CASS[(Cassandra)]
+ HBASE[(HBase, ≤v1.7)]
+ end
+ end
+
+ Clients --> Server
+ CORE --> ROCKS
+ CORE --> PD
+ CORE -.-> Legacy
+
+ style Server fill:#e1f5ff
+ style Distributed fill:#fff4e1
+ style Standalone fill:#f0f0f0
+```
-- **Standalone**: HugeGraph Server + RocksDB (for all-in-one deployment)
-- **Distributed**: HugeGraph Server + PD + Store (Raft + RocksDB by default)
+</details>
## Quick Start
-### 1. Docker (For Test)
+### 5 Minutes Quick Start
-Use Docker to quickly start a HugeGraph server with `RocksDB` (in the
background) for **testing or development**:
+```bash
+# Start HugeGraph with Docker
+docker run -itd --name=hugegraph -p 8080:8080 hugegraph/hugegraph:1.7.0
+# Verify server is running
+curl http://localhost:8080/apis/version
+
+# Try a Gremlin query
+curl -X POST http://localhost:8080/gremlin \
+ -H "Content-Type: application/json" \
+ -d '{"gremlin":"g.V().limit(5)"}'
```
-# (Optional)
-# - add "-e PRELOAD=true" to auto-load a sample graph
-docker run -itd --name=graph -e PASSWORD=xxx -p 8080:8080
hugegraph/hugegraph:1.7.0
+
+> **Production Note**: For production environments or public network exposure,
you **must** enable the
[AuthSystem](https://hugegraph.apache.org/docs/config/config-authentication/)
for security.
+
+### Prerequisites
+
+- **Java 11+** (required)
+- **Maven 3.5+** (for building from source)
+
+### Option 1: Docker (Fastest)
+
+Docker is the quickest way to get started for **testing or development**:
+
+```bash
+# Basic usage
+docker run -itd --name=hugegraph -p 8080:8080 hugegraph/hugegraph:1.7.0
+
+# With sample graph preloaded
+docker run -itd --name=hugegraph -e PRELOAD=true -p 8080:8080
hugegraph/hugegraph:1.7.0
+
+# With authentication enabled
+docker run -itd --name=hugegraph -e PASSWORD=your_password -p 8080:8080
hugegraph/hugegraph:1.7.0
```
-Please visit [doc
page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#3-deploy)
or
-the [README](hugegraph-server/hugegraph-dist/docker/README.md) for more
details. ([Docker Compose](./hugegraph-server/hugegraph-dist/docker/example))
+For advanced Docker configurations, see:
+- [Docker
Documentation](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#3-deploy)
+- [Docker Compose Example](./hugegraph-server/hugegraph-dist/docker/example)
+- [Docker README](hugegraph-server/hugegraph-dist/docker/README.md)
+
+> **Note**: Docker images are convenience releases, not **official ASF
distribution artifacts**. See [ASF Release Distribution
Policy](https://infra.apache.org/release-distribution.html#dockerhub) for
details.
+>
+> **Version Tags**: Use release tags (`1.7.0`, `1.x.0`) for stable versions.
Use `latest` for development features.
-> Note:
-> 1. The Docker image of HugeGraph is a convenience release, but not
**official distribution** artifacts. You can find more details from [ASF
Release Distribution
Policy](https://infra.apache.org/release-distribution.html#dockerhub).
-> 2. Recommend to use `release tag` (like `1.7.0`/`1.x.0`) for the stable
version. Use `latest` tag to experience the newest functions in development.
+<details>
+<summary><b>Option 2: Download Binary Package</b></summary>
-### 2. Download
+Download pre-built packages from the [Download
Page](https://hugegraph.apache.org/docs/download/download/):
-Visit [Download Page](https://hugegraph.apache.org/docs/download/download/)
and refer the
[doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#32-download-the-binary-tar-tarball)
-to download the latest release package and start the server.
+```bash
+# Download and extract
+wget
https://downloads.apache.org/incubator/hugegraph/{version}/apache-hugegraph-incubating-{version}.tar.gz
+tar -xzf apache-hugegraph-incubating-{version}.tar.gz
+cd apache-hugegraph-incubating-{version}
-**Note:** if you want to use it in the production environment or expose it to
the public network, you must enable the
[AuthSystem](https://hugegraph.apache.org/docs/config/config-authentication/)
to ensure safety.
+# Initialize backend storage
+bin/init-store.sh
-### 3. Build From Source
+# Start server
+bin/start-hugegraph.sh
-Visit [Build From Source
Page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#33-source-code-compilation)
and follow the
-steps to build the source code and start the server.
+# Check server status
+bin/monitor-hugegraph.sh
+```
-The project [doc page](https://hugegraph.apache.org/docs/) contains more
information on HugeGraph
-and provides detailed documentation for users. (Structure / Usage / API /
Configs...)
+For detailed instructions, see the [Binary Installation
Guide](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#32-download-the-binary-tar-tarball).
-## Ecosystem
+</details>
-Other **HugeGraph** components/repositories:
+<details>
+<summary><b>Option 3: Build from Source</b></summary>
-1. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph
tools
**[loader](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-client)**)
-2. [hugegraph-computer](https://github.com/apache/hugegraph-computer)
(integrated **graph computing** system)
-3. [hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai)
(integrated **Graph AI/LLM/KG** system)
-4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (**doc &
website** code)
+Build from source for development or customization:
-## License
+```bash
+# Clone repository
+git clone https://github.com/apache/hugegraph.git
+cd hugegraph
-HugeGraph is licensed under [Apache 2.0 License](LICENSE).
+# Build all modules (skip tests for faster build)
+mvn clean package -DskipTests
+
+# Extract built package
+cd install-dist/target
+tar -xzf hugegraph-{version}.tar.gz
+cd hugegraph-{version}
+
+# Initialize and start
+bin/init-store.sh
+bin/start-hugegraph.sh
+```
+
+For detailed build instructions, see [BUILDING.md](BUILDING.md) and [Build
from Source
Guide](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#33-source-code-compilation).
+
+</details>
+
+<details>
+<summary><b>Verify Installation</b></summary>
+
+Once the server is running, verify the installation:
+
+```bash
+# Check server version
+curl http://localhost:8080/apis/version
+
+# Expected output:
+# {
+# "version": "1.7.0",
+# "core": "1.7.0",
+# "gremlin": "3.5.1",
+# "api": "1.7.0"
+# }
+
+# Try Gremlin console (if installed locally)
+bin/gremlin-console.sh
+
+# In Gremlin console:
+gremlin> :remote connect tinkerpop.server conf/remote.yaml
+gremlin> :> g.V().limit(5)
+```
+
+For comprehensive documentation, visit the [HugeGraph
Documentation](https://hugegraph.apache.org/docs/).
+
+</details>
+
+## Module Map
+
+**Developer Navigation**: Find the right module for your task
+
+| I want to... | Module | Key Path |
+|--------------|--------|----------|
+| Understand graph operations | `hugegraph-core` | `StandardHugeGraph.java` |
+| Modify REST APIs | `hugegraph-api` | `src/.../api/` |
+| Add storage backend | `hugegraph-core` | `BackendStore.java` |
+| Develop Gremlin features | `hugegraph-core` | `src/.../traversal/` |
+| Develop Cypher features | `hugegraph-api` | `src/.../opencypher/` |
+| Work on distributed coordination | `hugegraph-pd` | `hg-pd-core/` |
+| Work on distributed storage | `hugegraph-store` | `hg-store-core/` |
+| Add backend implementations | `hugegraph-server/hugegraph-{backend}` |
`hugegraph-rocksdb/`, `hugegraph-hstore/` |
+| Understand configuration | `hugegraph-dist` | `src/assembly/static/conf/` |
+| Run tests | `hugegraph-test` | Test suites with multiple profiles |
+
+For detailed architecture and development guidance, see [AGENTS.md](AGENTS.md).
+
+<details>
+<summary><b>For Contributors</b></summary>
+
+**New to HugeGraph?** Follow this path to get started:
+
+1. **Understand the Architecture**
+ - Read [AGENTS.md](AGENTS.md) for detailed module structure and development
patterns
+ - Review the [Architecture Diagram](#architecture) above
+
+2. **Set Up Your Environment**
+ - Install Java 11+ and Maven 3.5+
+ - Follow [BUILDING.md](BUILDING.md) for build instructions
+ - Configure your IDE to use `.editorconfig` for code style and
`style/checkstyle.xml` for Checkstyle rules
+
+3. **Find Your First Issue**
+ - Browse [Good First
Issues](https://github.com/apache/hugegraph/issues?q=label%3A%22good+first+issue%22)
+ - Check [Help Wanted
Issues](https://github.com/apache/hugegraph/issues?q=label%3A%22help+wanted%22)
+
+4. **Learn the Codebase**
+ - Use the [Module Map](#module-map) to navigate
+ - Try [DeepWiki](https://deepwiki.com/apache/hugegraph) for AI-powered
codebase understanding
+ - Run tests to understand behavior: `mvn test -pl
hugegraph-server/hugegraph-test -am -P core-test,memory`
+ - Try modifying a test and see what breaks
+
+5. **Code Standards**
+ - Line length: 100 characters
+ - Indentation: 4 spaces
+ - No star imports
+ - Commit format: `feat|fix|refactor(module): description`
+
+6. **Submit Your Contribution**
+ - Read [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines
+ - Follow the [Contribution
Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/)
+ - Use [GitHub Desktop](https://desktop.github.com/) to simplify the PR
process
+
+</details>
## Contributing
-- Welcome to contribute to HugeGraph, please see [`How to
Contribute`](CONTRIBUTING.md) &
[Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for
more information.
-- Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/)
to greatly simplify the PR and commit process.
-- Thank you to all the people who already contributed to HugeGraph!
+Welcome to contribute to HugeGraph!
+
+- **How to Contribute**: See [CONTRIBUTING.md](CONTRIBUTING.md) and
[Contribution
Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/)
+- **Code Style**: Configure your IDE to use `.editorconfig` for code style and
`style/checkstyle.xml` for Checkstyle rules
+- **PR Tool**: [GitHub Desktop](https://desktop.github.com/) is recommended
for simpler workflow
+
+Thank you to all the contributors who have helped make HugeGraph better!
[](https://github.com/apache/incubator-hugegraph/graphs/contributors)
-## Thanks
+## License
-HugeGraph relies on the [TinkerPop](http://tinkerpop.apache.org) framework, we
refer to the storage structure of Titan and the schema definition of DataStax.
-Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other
organizations or authors who contributed to the project.
+HugeGraph is licensed under [Apache 2.0 License](LICENSE).
-You are welcome to contribute to HugeGraph,
-and we are looking forward to working with you to build an excellent
open-source community.
+## Community
-## Contact Us
+**Get Help & Stay Connected**
-- [GitHub Issues](https://github.com/apache/hugegraph/issues): Feedback on
usage issues and functional requirements (quick response)
-- Feedback Email:
[[email protected]](mailto:[email protected])
([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/)
only)
-- Slack: [ASF Online Channel](https://the-asf.slack.com/archives/C059UU2FJ23)
-- WeChat public account: Apache HugeGraph, welcome to scan this QR code to
follow us.
+- **[GitHub Issues](https://github.com/apache/hugegraph/issues)**: Report bugs
and request features (quick response)
+- **Mailing List**:
[[email protected]](mailto:[email protected]) ([subscribe
here](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/))
+- **Slack**: [ASF HugeGraph
Channel](https://the-asf.slack.com/archives/C059UU2FJ23)
+- **WeChat**: Scan the QR code to follow Apache HugeGraph official account
+
+<p align="center">
+<img
src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true"
alt="WeChat QR Code" width="300"/>
+</p>
+
+## Thanks
- <img
src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true"
alt="QR png" width="300"/>
+HugeGraph relies on the [Apache TinkerPop](http://tinkerpop.apache.org)
framework. We are grateful to the TinkerPop community, Titan, and DataStax for
their foundational work. Thanks to all contributors and organizations who have
helped make HugeGraph possible.
+You are welcome to contribute to HugeGraph, and we look forward to working
with you to build an excellent open-source community.