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Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com>
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Mendon Kissling 2025-10-29 13:15:26 -04:00 • committed by GitHub
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docs/docs/core-components/knowledge.mdx
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@ -136,7 +136,7 @@ OpenRAG automatically detects and configures the correct vector dimensions for e
The complete list of supported models is available at [`models_service.py` in the OpenRAG repository](https://github.com/langflow-ai/openrag/blob/main/src/services/models_service.py).
You can use custom embe*dding models by specifying them in your configuration.
You can use custom embedding models by specifying them in your configuration.
If you use an unknown embedding model, OpenRAG will automatically fall back to `1536` dimensions and log a warning. The system will continue to work, but search quality may be affected if the actual model dimensions differ from `1536`.