Vector Databases in RAG Applications

The Crucial Role of Storage in RAG Applications

Without a way to store data persistently, it gets lost after a while. Applications typically only hold data as long as they’re running. Once they stop, the data’s lost. Sometimes, data in the application’s memory can even be lost due to the underlying framework or operating system actions.

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Why Databases Matter for RAGs

Databases provide effective memory storage for your app. They remember not only the retrieved data but also context from previous prompts.

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Vector Databases and RAG

For LLMs, vector databases are the ideal storage solution. Vector embeddings are numerical representations designed to capture the semantic meanings of data — most commonly text, but also other data types like emojis and media.