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Move RAG and AI search flows sections under Generative AI in tutorials (#9417)
* Move RAG and AI search flows sections under Generative AI in tutorials Signed-off-by: Fanit Kolchina <[email protected]> * Reword card name Signed-off-by: Fanit Kolchina <[email protected]> * Add link to vector search Signed-off-by: Fanit Kolchina <[email protected]> --------- Signed-off-by: Fanit Kolchina <[email protected]>
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_tutorials/ai-search-flows/building-flows.md renamed to _tutorials/gen-ai/ai-search-flows/building-flows.md

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layout: default
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title: Creating and customizing AI search workflows
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parent: AI search workflows
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grand_parent: Generative AI
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nav_order: 10
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redirect_from:
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- /tutorials/ai-search-flows/building-flows/
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---
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# Creating and customizing AI search workflows in OpenSearch Dashboards

_tutorials/ai-search-flows/index.md renamed to _tutorials/gen-ai/ai-search-flows/index.md

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---
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layout: default
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title: AI search workflows
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parent: Generative AI
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has_children: true
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has_toc: false
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nav_order: 80
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nav_order: 30
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redirect_from:
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- /tutorials/ai-search-flows/
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- /tutorials/gen-ai/ai-search-flows/
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flows:
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- heading: Creating and customizing AI search workflows
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link: /tutorials/ai-search-flows/building-flows/
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link: /tutorials/gen-ai/ai-search-flows/building-flows/
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description: "Learn how to build AI search flows in OpenSearch Dashboards"
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---
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_tutorials/gen-ai/index.md

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redirect_from:
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- /tutorials/gen-ai/
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cards:
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- heading: "RAG"
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description: "Build retrieval-augmented generation and conversational search applications"
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link: "/tutorials/gen-ai/rag/"
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- heading: "Chatbots and agents"
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description: "Build your generative AI application using chatbots and agents"
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link: "/tutorials/gen-ai/chatbots/"
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- heading: "AI search workflows"
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link: "/tutorials/gen-ai/ai-search-flows/"
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description: "Build and configure AI search applications visually in OpenSearch Dashboards"
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- heading: "Model guardrails"
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description: "Add safety boundaries to your models to ensure controlled responses"
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link: "/tutorials/gen-ai/model-controls/"
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---
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# Generative AI tutorials
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Explore the following tutorials to learn about implementing generative AI applications using the OpenSearch vector database. For more information about OpenSearch machine learning functionality, see [Machine learning]({{site.url}}{{site.baseurl}}/ml-commons-plugin/).
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Explore the following tutorials to learn about implementing generative AI applications using the OpenSearch vector database. For more information about OpenSearch generative AI functionality, see [Vector search]({{site.url}}{{site.baseurl}}/vector-search/) and [Machine learning]({{site.url}}{{site.baseurl}}/ml-commons-plugin/).
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{% include cards.html cards=page.cards %}

_tutorials/gen-ai/model-controls/index.md

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parent: Generative AI
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has_children: true
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has_toc: false
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nav_order: 80
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nav_order: 40
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redirect_from:
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- /vector-search/tutorials/model-controls/
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- /tutorials/gen-ai/model-controls/

_tutorials/vector-search/rag/conversational-search-claude-bedrock.md renamed to _tutorials/gen-ai/rag/conversational-search-claude-bedrock.md

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layout: default
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title: Conversational search using Anthropic Claude on Amazon Bedrock
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 160
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redirect_from:
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- /vector-search/tutorials/conversational-search/conversational-search-claude-bedrock/
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- /tutorials/vector-search/rag/conversational-search/conversational-search-claude-bedrock/
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---
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# Conversational search using Anthropic Claude on Amazon Bedrock

_tutorials/vector-search/rag/conversational-search-cohere.md renamed to _tutorials/gen-ai/rag/conversational-search-cohere.md

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layout: default
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title: Conversational search using Cohere Command
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 150
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redirect_from:
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- /ml-commons-plugin/tutorials/conversational-search-cohere/
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- /vector-search/tutorials/conversational-search/conversational-search-cohere/
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- /tutorials/vector-search/rag/conversational-search/conversational-search-cohere/
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---
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# Conversational search using Cohere Command

_tutorials/vector-search/rag/conversational-search-openai.md renamed to _tutorials/gen-ai/rag/conversational-search-openai.md

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layout: default
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title: Conversational search using OpenAI
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 170
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redirect_from:
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- /vector-search/tutorials/conversational-search/conversational-search-openai/
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- /tutorials/vector-search/rag/conversational-search/conversational-search-openai/
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---
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# Conversational search using OpenAI

_tutorials/vector-search/rag/index.md renamed to _tutorials/gen-ai/rag/index.md

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---
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layout: default
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title: RAG
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parent: Vector search
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parent: Generative AI
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has_children: true
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has_toc: false
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nav_order: 120
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nav_order: 10
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redirect_from:
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- /vector-search/tutorials/rag/
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- /vector-search/tutorials/conversational-search/
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- /tutorials/vector-search/rag/
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- /tutorials/gen-ai/rag/
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rag:
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- heading: Retrieval-augmented generation (RAG) using the DeepSeek Chat API
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link: /tutorials/vector-search/rag/rag-deepseek-chat/
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link: /tutorials/gen-ai/rag/rag-deepseek-chat/
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list:
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- "<b>Platform:</b> OpenSearch, Amazon OpenSearch Service"
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- "<b>Model:</b> DeepSeek Chat"
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- '<b>Deployment:</b> Provider API'
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- heading: RAG using DeepSeek-R1 on Amazon Bedrock
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link: /tutorials/vector-search/rag/rag-deepseek-r1-bedrock/
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link: /tutorials/gen-ai/rag/rag-deepseek-r1-bedrock/
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list:
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- '<b>Platform:</b> OpenSearch, Amazon OpenSearch Service'
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- '<b>Model:</b> DeepSeek-R1'
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- "<b>Deployment:</b> Amazon Bedrock"
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- heading: RAG using DeepSeek-R1 in Amazon SageMaker
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link: /tutorials/vector-search/rag/rag-deepseek-r1-sagemaker/
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link: /tutorials/gen-ai/rag/rag-deepseek-r1-sagemaker/
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list:
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- "<b>Platform:</b> OpenSearch, Amazon OpenSearch Service"
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- "<b>Model:</b> DeepSeek-R1"
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- "<b>Deployment:</b> Amazon SageMaker"
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conversational_search:
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- heading: Conversational search using Cohere Command
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link: /tutorials/vector-search/rag/conversational-search-cohere/
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link: /tutorials/gen-ai/rag/conversational-search-cohere/
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list:
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- "<b>Platform:</b> OpenSearch"
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- "<b>Model:</b> Cohere Command"
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- "<b>Deployment:</b> Provider API"
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- heading: Conversational search using OpenAI
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link: /tutorials/vector-search/rag/conversational-search-openai/
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link: /tutorials/gen-ai/rag/conversational-search-openai/
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list:
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- "<b>Platform:</b> OpenSearch"
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- "<b>Model:</b> OpenAI GPT-4o"
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- "<b>Deployment:</b> Provider API"
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- heading: Conversational search using Anthropic Claude on Amazon Bedrock
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link: /tutorials/vector-search/rag/conversational-search-claude-bedrock/
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link: /tutorials/gen-ai/rag/conversational-search-claude-bedrock/
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list:
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- "<b>Platform:</b> OpenSearch"
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- "<b>Model:</b> Anthropic Claude"

_tutorials/vector-search/rag/rag-deepseek-chat.md renamed to _tutorials/gen-ai/rag/rag-deepseek-chat.md

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layout: default
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title: RAG using the DeepSeek Chat API
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 120
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redirect_from:
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- /vector-search/tutorials/rag/rag-deepseek-chat/
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- /tutorials/vector-search/rag/rag-deepseek-chat/
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---
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# RAG using the DeepSeek Chat API

_tutorials/vector-search/rag/rag-deepseek-r1-bedrock.md renamed to _tutorials/gen-ai/rag/rag-deepseek-r1-bedrock.md

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layout: default
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title: RAG using DeepSeek-R1 on Amazon Bedrock
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 130
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redirect_from:
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- /vector-search/tutorials/rag/rag-deepseek-r1-bedrock/
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- /tutorials/vector-search/rag/rag-deepseek-r1-bedrock/
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---
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# RAG using DeepSeek-R1 on Amazon Bedrock

_tutorials/vector-search/rag/rag-deepseek-r1-sagemaker.md renamed to _tutorials/gen-ai/rag/rag-deepseek-r1-sagemaker.md

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layout: default
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title: RAG using DeepSeek-R1 in Amazon SageMaker
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parent: RAG
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grand_parent: Vector search
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grand_parent: Generative AI
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nav_order: 140
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redirect_from:
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- /vector-search/tutorials/rag/rag-deepseek-r1-sagemaker/
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- /tutorials/vector-search/rag/rag-deepseek-r1-sagemaker/
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---
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# RAG using DeepSeek-R1 in Amazon SageMaker

_tutorials/index.md

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description: "Enhance search relevance using machine learning models to intelligently reorder results"
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link: "/tutorials/reranking/"
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- heading: "Generative AI applications"
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description: "Create AI-powered applications like chatbots and advanced conversational systems"
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description: "Create AI-powered applications like RAG, chatbots, and advanced conversational systems"
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link: "/tutorials/gen-ai/"
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- heading: "AI search workflows"
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link: "/tutorials/ai-search-flows/"
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description: "Build and configure AI search applications visually in OpenSearch Dashboards"
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---
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# Tutorials

_tutorials/vector-search/index.md

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- heading: "Semantic search"
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description: "Implement semantic search using various machine learning models"
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link: "/tutorials/vector-search/semantic-search/"
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- heading: "RAG"
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description: "Build retrieval-augmented generation and conversational search applications"
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link: "/tutorials/vector-search/rag/"
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---
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# Vector search tutorials

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