From be42e46d275b0eb6640bab8ab35f85dffd58c062 Mon Sep 17 00:00:00 2001 From: Sandra Gonzales Date: Tue, 7 Oct 2025 15:43:06 -0400 Subject: [PATCH] add limitation types --- solutions/observability/observability-ai-assistant.md | 1 + 1 file changed, 1 insertion(+) diff --git a/solutions/observability/observability-ai-assistant.md b/solutions/observability/observability-ai-assistant.md index 3f2864bfe1..125744a92e 100644 --- a/solutions/observability/observability-ai-assistant.md +++ b/solutions/observability/observability-ai-assistant.md @@ -524,6 +524,7 @@ Results for other languages or models may vary. ### Limitations [obs-ai-anonymization-limitations] Anonymization has the following limitations: +* **Non-string fields**: Anonymization only applies to string values. Booleans, numbers, image types, and other non-string values are ignored. * **Performance (NER)**: Running an NER model can add latency depending on the request. To improve performance of the model, consider scaling up your ML nodes by adjusting deployment parameters: increase `number_of_allocations` for better throughput and `threads_per_allocation` for faster individual requests. For details, refer to [start trained model deployment API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-start-trained-model-deployment). * **Structured JSON**: The NER model we validated (`elastic/distilbert-base-uncased-finetuned-conll03-english`) is trained on natural English text and often misses entities inside JSON or other structured data. If thorough masking is required, prefer regex rules and craft them to account for JSON syntax. * **False negatives / positives**: No model or pattern is perfect. Model accuracy may vary depending on model and input.