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articles/machine-learning/concept-vector-stores.md

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Azure Machine Learning supports two vector stores that contain your supplemental data used in a RAG workflow:
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| Vector store | Description | Features |
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| Vector store | Description | Features and usage |
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| --- | --- | --- |
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| **Faiss** | Open source library | - Local file-based store <br> - Minimal costs <br> - Good for vector-only data <br> - Ideal for development and testing |
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| **Faiss** | Open source library | - Use local file-based store <br> - Incur minimal costs <br> - Support vector-only data <br> - Support development and testing |
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| **Azure AI Search** | Azure PaaS resource | - Store text data in search index <br> - Host large number of indexes with single service <br> - Support enterprise-level business requirements <br> - Access hybrid information retrieval |
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The following sections explore considerations for working with these vector stores.

articles/machine-learning/includes/machine-learning-preview-generic-disclaimer.md

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ms.service: machine-learning
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services: machine-learning
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ms.topic: include
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ms.date: 03/17/2021
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ms.date: 07/11/2024
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ms.author: laobri
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ms.custom: include file
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---
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> [!IMPORTANT]
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> This feature is currently in public preview. This preview version is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities.
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> This feature is currently in preview. This preview version is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities.
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>
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> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).

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