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How do vector databases respond to changes in embeddings? Does one need to reindex all documents in the DB when that happens (i.e. retraining a model, switching
by treprinum 3y ago
How do vector databases respond to changes in embeddings? Does one need to reindex all documents in the DB when that happens (i.e. retraining a model, switching to a model with different embeddings etc.)?
- TheGeminon 3y agoYes, any change in embedding models will make the embeddings incompatible (they may still work somewhat if the model architecture is similar), but unless you have massive amounts of data the embedding itself generally doesn’t take too long. 10k documents/minute running sentence transformers locally on my m1