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Copy file name to clipboardExpand all lines: docs/ai-integration/ai-agents/ai-agents_start.mdx
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-[See common AI agents use cases](../../ai-integration/ai-agents/ai-agents_start#use-cases)
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## Technical documentation
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Our technical documentation explains in detail what AI agents are and how to define and use them.
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If you're new to AI agents, we recommend the [overview](../../ai-integration/ai-agents/ai-agents_overview) page as a good starting point.
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Use the technical documentation to learn how to create and manage AI agents, configure secure database access, enable agents to trigger client actions, and more.
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<CardWithImagetitle="AI Agents Overview"description="Basic concepts of RavenDB's native AI agents"url="../../ai-integration/ai-agents/ai-agents_overview"imgSrc={aiAgentsStartOvImage}imgAlt="imgAlt"ctaLabel="Read" />
### Use native AI features to create intelligent database applications.
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Ship AI-powered features faster with RavenDB’s native tools.
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### Native AI features that create intelligent applications
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RavenDB is equipped with a set of powerful native AI features that can
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be used independently or in conjunction with each other, allowing you to easily integrate advanced AI capabilities into your applications.
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These features include [AI agents](../ai-integration/ai-integration_start#ai-agents), [GenAI tasks](../ai-integration/ai-integration_start#genai-tasks), [Embeddings generation](../ai-integration/ai-integration_start#embeddings-generation), and [Vector search](../ai-integration/ai-integration_start#vector-search).
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<br />
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### Use cases
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RavenDB AI features help you ship any AI-related scenario quickly, including:
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*[Conversational intelligence](../ai-integration/ai-agents/ai-agents_start#use-cases) - Natural-language chatbots, assistants, and interactive workflows.
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*[Automated content enrichment](../ai-integration/gen-ai-integration/gen-ai_start#use-cases) - Summarization, translation, classification, and document enhancement.
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*[Semantic representation](../ai-integration/generating-embeddings/embeddings-generation_start#use-cases) - Creating vector representations for text, images, and other data types.
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*[Similarity-based discovery](../ai-integration/vector-search/vector-search_start#use-cases) - Finding related items, aggregation, and context-aware retrieval.
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*[Personalization & recommendations](../ai-integration/vector-search/vector-search_start#use-cases) - Tailoring suggestions, feeds, and user experiences.
*[Knowledge management & Q&A](../ai-integration/ai-agents/ai-agents_start#use-cases) - Asking questions over policies, wikis, and documents; retrieving answers and citations.
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Learn More: In-Depth AI Feature Articles
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<CardWithImagetitle="RavenDB GenAI Deep Dive"description="A deep-dive with hands-on examples and implementation details, by Oren Eini"imgSrc=""url="https://ravendb.net/articles/ravendb-genai-deep-dive"imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImagetitle="Practical Look at AI Agents with RavenDB"description="A step-by-step tutorial for building AI agents with RavenDB, by Gracjan Sadowicz"imgSrc=""url="https://ravendb.net/articles/practical-look-at-ai-agents-with-ravendb"imgAlt="imgAlt"ctaLabel="Read" />
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### AI agents
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AI agents are conversational proxy components that reside on the server and autonomously handle client requests using an AI model. Instead of spending your time on integrating AI capabilities into your application, you can rapidly configure AI agents using Studio or the client API. Agents can securely read from the database and request the client for actions on behalf of the AI model, infusing intelligence into the workflow. Whether you need chatbots, automated reporting, or intelligent data processing, you get immediate production-ready AI features without the integration overhead.
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[See common AI agents use cases](../ai-integration/ai-agents/ai-agents_start#use-cases)
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<CardWithImagetitle="Start page"description="Continue to the AI agents Start page"url="../ai-integration/ai-agents/ai-agents_start"imgSrc={aiAgentsStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImagetitle="Technical documentation"description="Enter the AI agents technical documentation"url="../ai-integration/ai-agents/ai-agents_start#technical-documentation"imgSrc={aiAgentsStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImagetitle="In-depth articles"description="Read in-depth article about AI agents"url="../ai-integration/ai-agents/ai-agents_start#in-depth-articles"imgSrc={aiAgentsStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImageHorizontaltitle="How to run AI agents natively in your database"description="Watch a webinar about AI agents"url="https://www.youtube.com/watch?v=A17GSLGN-cQ"imgSrc="https://media.licdn.com/dms/image/v2/D4D10AQG81cXtiYRc2w/image-shrink_800/B4DZZYYLcTHwAk-/0/1745239456036?e=2147483647&v=beta&t=yQVz6ji4wD4reOTXtlPpERK0fdpr1f2VoG_SEV9x3lc"imgAlt="imgAlt"ctaLabel="Watch" />
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<CardWithImagetitle="AI agents Start page"description="Continue to the AI agents Start page."url="../ai-integration/ai-agents/ai-agents_start"imgSrc={aiAgentsStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImagetitle="Technical documentation"description="Learn how to create, deploy, manage conversations, and get results with AI agents."url="../ai-integration/ai-agents/ai-agents_start#technical-documentation"imgSrc={aiAgentsStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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### GenAI tasks
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GenAI tasks are configurable [ongoing operations](../studio/database/tasks/ongoing-tasks/general-info) that process your documents systematically in the background using an AI model. Instead of building custom AI integration pipelines yourself, you can easily create tasks that weave AI capabilities into your data flow. They can enrich documents with AI-generated content, validate and categorize data, translate documents, or execute countless other automated workflows that leverage AI capabilities.
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[See common GenAI tasks use cases](../ai-integration/gen-ai-integration/gen-ai_start#use-cases)
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<CardWithImagetitle="In-depth articles"description="Read in-depth articles about GenAI"url="../ai-integration/gen-ai-integration/gen-ai_start#in-depth-articles"imgSrc={genAiStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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<CardWithImagetitle="Technical documentation"description="Learn to create GenAI tasks that process your data and enable intelligent workflows automation."url="../ai-integration/gen-ai-integration/gen-ai_start#technical-documentation"imgSrc={genAiStartImage}imgAlt="imgAlt"ctaLabel="Read" />
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### Embeddings generation
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Embeddings generation tasks transform your content into semantic vectors that enable intelligent similarity-based searches. Instead of building complex search infrastructure, you can utilize native tasks that seamlessly embed vector capabilities into your data, enabling intelligent search by meaning and context.
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### Vector search
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Vector search enables intelligent similarity-based discovery using embeddings rather than exact matching. Instead of developing custom similarity algorithms yourself, you can employ native vector operations for diverse applications. Whether you need to categorize content, find similar items, or automate recommendations, vector search delivers intelligent matching capabilities that understand meaning and context.
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### Lives & Videos
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Watch our broadcasts to see RavenDB's AI features in action and learn practical implementation techniques.
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### Deep dives, content & resources
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Find additional resources to enhance your knowledge and skills.
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<CardWithImagetitle="Introduction to vector search"description="A glimpse of what can be achieved with vector search"url="https://ravendb.net/articles/new-in-7-0-ravendbs-vector-search"imgSrc={vectorSearchIntroImage}imgAlt="imgAlt"ctaLabel="Read now" />
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<CardWithImagetitle="Future-proof your tech stack"description="Where Does GenAI Truly Fit"imgSrc={genAiStartImage}url="https://www.youtube.com/watch?v=OjEAWHGKyJY"imgIcon="gen-ai"imgAlt="imgAlt"ctaLabel="Read now" />
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