Move vector embeddings to HANA section #768
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| Typically vector embeddings are computed using models tailored to a specific use case, like large language models (LLMs) for text, or convolutional neural networks (CNNs) for images. The dimensionality of the vector embedding space depends on the chosen model. Unified LLM consumption across different vendors and open source models is provided via the [SAP Generative AI Hub](https://community.sap.com/t5/technology-blogs-by-sap/how-sap-s-generative-ai-hub-facilitates-embedded-trustworthy-and-reliable/ba-p/13596153). | ||
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| [Learn more about Vector Embeddings in CAP Java](../java/cds-data#vector-embeddings) {.learn-more} |
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👍 I'll create a similar link for Node.js
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@MattSchur @agoerler With 5b2cda2 I propose to have also a runtime sample within the guide. From my perspective that rounds up the section. More details could be found/mentioned in the runtime specific docs. What do you think? 
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smahati
approved these changes
Mar 26, 2024
MattSchur
commented
Mar 27, 2024
MattSchur
commented
Mar 27, 2024
Co-authored-by: Matthias Schur <[email protected]>
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