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Embeddings are not interchangeable. However, you can setup your system to have multiple embeddings from different providers for the same content.


There are people who make the case for custom fine tuned embedding models built to match your specific types of data and associations. Whatever you use internally it gets converted to the foundation model of choice's formats by their tools on the edge. Still Embeddings and the chunking strategies feeding into them are both way too underappreciated parts of the whole pipeline.


Embeddings are indeed sticky, I was referring to the LLM model itself.




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