Vector Embeddings: Add example w/ Cloud SDK for AI #1914
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Co-authored-by: Matthias Kuhr <[email protected]>
MattSchur
commented
Jun 10, 2025
MattSchur
commented
Jun 10, 2025
MattSchur
commented
Jun 10, 2025
MattSchur
commented
Jun 10, 2025
MattSchur
commented
Jun 10, 2025
MattSchur
commented
Jun 11, 2025
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@renejeglinsky could you please review and merge? |
| entity Books : cuid { | ||
| title : String(111); | ||
| description : LargeString; | ||
| embedding : Vector(1536); // adjust dimensions to embedding model |
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Where do I get the number to define my embedding model?
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The embedding dimensions are a property of the chosen embedding model and documented by the model provider (usually also in the mteb leaderboard).
For example the gemini-embedding-001 has up to 3072 dimensions and text-embedding-3-small has 1536.
I'll try to make this clearer from the description.
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I removed the profiled content as we want to reduce the usage of this toggle and maybe even remove it completely. |
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Adds example code and link to SAP Cloud SDK for AI