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articles/cosmos-db/vector-database.md

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@@ -46,7 +46,7 @@ Vector databases are used in numerous domains and situations across analytical a
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- identify data anomalies or fraudulent activities that are dissimilar from predominant or normal patterns
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- implement persistent memory for AI agents
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Besides these typical use cases for vector database, our integrated vector database is also an ideal solution for production-level LLM caching thanks to its single-digit millisecond response times, automatic and instant scalability, along with guaranteed speed at any scale.
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Besides these typical use cases for vector database, our integrated vector database is also an ideal solution for production-level LLM caching thanks to its low latency, high scalability, and high availability.
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It's especially popular to use vector databases to enable [retrieval-augmented generation (RAG)](#retrieval-augmented-generation) that harnesses LLMs and custom data or domain-specific information. This approach allows you to:
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