[Question] How to build vector index incrementally for new/updated graph vertices?
- Dominant language
- Python
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Description
### Problem Type (问题类型)
None
### Before submit
- [x] I had searched in the [issues](https://github.com/apache/incubator-hugegraph-ai/issues) and found no similar issues.
### Environment (环境信息)
Server Version: 1.5
Toolchain Version: hugegraph-rag lastest
Data Size: 2000 vertices, 3000 edges
### Your Question (问题描述)
I’m using HugeGraph with a custom RAG pipeline. My graph data is frequently updated by third-party services.
Currently, I rebuild the entire vector index from scratch after every change — which is inefficient.
👉 Does HugeGraph AI natively support incremental index updates (add/update/delete embeddings for changed vertices only)?
If not, is it on the roadmap? Any recommended approach?
Thanks!
### Vertex/Edge example (问题点 / 边数据举例)
```javascript
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### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
```javascript
```
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