dosubot[bot] commented on issue #300:
URL: 
https://github.com/apache/incubator-hugegraph-ai/issues/300#issuecomment-3277067919

   <!-- Answer -->
   HugeGraph-AI does natively support incremental updates for vector 
indexes—you can add, update, or delete embeddings for changed vertices without 
rebuilding the entire index from scratch. The vector index module provides 
methods for building, updating, and cleaning indexes, and supports batch and 
parallel processing for efficient handling of frequent updates. This design is 
well-suited for RAG pipelines where graph data changes often. You can also 
integrate with external vector databases like Faiss or Milvus if needed. For 
best results, use the batch and parallel options to process updates in groups 
and maximize throughput. More details are available in the [official 
documentation](https://app.dosu.dev/documents/744b2ddc-fc3a-464e-9ba8-4d35c519c3a3).
   
   
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