docs: update README with requirements and architecture info

Added sections for Requirements and Architecture, specifying Java and Maven versions and deployment options. Updated Docker command to use version 1.7.0. Included build from source instructions with Maven command.

Author: imbajin

README.md

@@ -30,6 +30,20 @@ achieved through the powerful [Gremlin](https://tinkerpop.apache.org/gremlin.htm
 - 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))
 
+## 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                                                     |
+
+- **Standalone**: HugeGraph Server + RocksDB (for all-in-one deployment)
+- **Distributed**: HugeGraph Server + PD + Store (Raft + RocksDB by default)
+
 ## Quick Start
 
 ### 1. Docker (For Test)
@@ -39,7 +53,7 @@ Use Docker to quickly start a HugeGraph server with `RocksDB` (in the background
 ```
 # (Optional) 
 # - add "-e PRELOAD=true" to auto-load a sample graph
-docker run -itd --name=graph -e PASSWORD=xxx -p 8080:8080 hugegraph/hugegraph:1.5.0
+docker run -itd --name=graph -e PASSWORD=xxx -p 8080:8080 hugegraph/hugegraph:1.7.0
 ```
 
 Please visit [doc page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#3-deploy) or
@@ -54,7 +68,7 @@ the [README](hugegraph-server/hugegraph-dist/docker/README.md) for more details.
 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.
 
-**Note:** if you want to use it in the production environment or expose it to the public network, must enable the [AuthSystem](https://hugegraph.apache.org/docs/config/config-authentication/) to ensure safe.
+**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 safe.
 
 ### 3. Build From Source
 
@@ -64,7 +78,9 @@ steps to build the source code and start the server.
 The project [doc page](https://hugegraph.apache.org/docs/) contains more information on HugeGraph
 and provides detailed documentation for users. (Structure / Usage / API / Configs...)
 
-And here are links of other **HugeGraph** component/repositories:
+## Ecosystem
+
+Other **HugeGraph** components/repositories:
 
 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)