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description: An overview of the Redis for AI documentation
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description: An overview of Redis for AI documentation
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linkTitle: Redis for AI
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weight: 40
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---
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Redis stores and indexes vector embeddings that semantically represent unstructured data including text passages, images, videos, or audio. Store vectors and the associated metadata within [hashes]({{< relref "/develop/data-types/hashes" >}}) or [JSON]({{< relref "/develop/data-types/json" >}}) documents for [indexing]({{< relref "/develop/interact/search-and-query/indexing" >}}) and [querying]({{< relref "/develop/interact/search-and-query/query" >}}).
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| Vector | RAG | RedisVL |
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| :-- | :-- | :-- |
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| {{<image filename="images/ai-cube.png" alt="AI Redis icon.">}}[Redis as a vector database quick start guide]({{< relref "/develop/get-started/vector-database" >}}) |{{<image filename="images/ai-brain.png" alt="AI Redis icon.">}} [Retrieval-Augmented Generation quick start guide]({{< relref "/develop/get-started/rag" >}}) | {{<image filename="images/ai-lib.png" alt="AI Redis icon.">}}[Redis vector Python client library documentation]({{< relref "/integrate/redisvl/overview/" >}}) |
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| {{<image filename="images/ai-cube.png" alt="AI Redis icon.">}}[Redis vector database quick start guide]({{< relref "/develop/get-started/vector-database" >}}) |{{<image filename="images/ai-brain.png" alt="AI Redis icon.">}} [Retrieval-Augmented Generation quick start guide]({{< relref "/develop/get-started/rag" >}}) | {{<image filename="images/ai-lib.png" alt="AI Redis icon.">}}[Redis vector Python client library documentation]({{< relref "/integrate/redisvl/overview/" >}}) |
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#### Overview
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| :-- | :-- | :-- |
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| {{<image filename="images/ai-search.png" alt="AI Redis icon.">}}[Vector search guide]({{< relref "/develop/interact/search-and-query/query/vector-search" >}}) | {{<image filename="images/ai-model.png" alt="AI Redis icon.">}}[Deploy an enhanced gateway with Redis](https://redis.io/blog/ai-gateways-what-are-they-how-can-you-deploy-an-enhanced-gateway-with-redis/) | {{<image filename="images/ai-brain-2.png" alt="AI Redis icon.">}}[Semantic caching for faster, smarter LLM apps](https://redis.io/blog/what-is-semantic-caching) |
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#### Ecosystem integrations
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## Ecosystem integrations
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* [Amazon Bedrock setup guide]({{< relref "/integrate/amazon-bedrock/set-up-redis" >}})
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* [LangChain Redis Package: Smarter AI apps with advanced vector storage and faster caching](https://redis.io/blog/langchain-redis-partner-package/))
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* [Building LLM Applications with Kernel Memory and Redis](https://redis.io/blog/building-llm-applications-with-kernel-memory-and-redis/)
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## Notebooks
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## Examples
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Get started with the following Redis Python notebooks.
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