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@@ -54,7 +54,7 @@ A common use case is a user searching FAQs, or a support agent searching a knowl
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The diagram below shows how documents are processed during ingestion.
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// Original diagram: https://whimsical.com/ml-in-enterprise-search-ErCetPqrcCPu2QYHvAwrgP@2bsEvpTYSt1Hiuq6UBf68tUWvFiXdzLt6ao
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-image::../images/ingest/document-enrichment-diagram.png["ML inference pipeline diagram"]
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+image::images/ingest/document-enrichment-diagram.png["ML inference pipeline diagram"]
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* Documents are processed by the `my-index-0001` pipeline, which happens automatically when indexing through a an Elastic connector or crawler.
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* The `_run_ml_inference` field is set to `true` to ensure the ML inference pipeline (`my-index-0001@ml-inference`) is executed.
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@@ -95,7 +95,7 @@ Once your index-specific ML inference pipeline is ready, you can add inference p
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To add an inference processor to the ML inference pipeline, click the *Add Inference Pipeline* button in the *Machine Learning Inference Pipelines* card.
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[role="screenshot"]
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-image::../images/ingest/document-enrichment-add-inference-pipeline.png["Add Inference Pipeline"]
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+image::images/ingest/document-enrichment-add-inference-pipeline.png["Add Inference Pipeline"]
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Here, you'll be able to:
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Liam Thompson