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v1.7: Updates to OpenAI embedder

guimachiavelli opened this issue · comments

v1.7 introduces two minor changes to Meilisearch's OpenAI embedder.

  1. Two new supported models: text-embedding-3-small and text-embedding-3-large
  2. Users can set the dimensions parameter for the OpenAI embedder (dimensions must be >0 and lower than the model size)

Questions

  • Why would a user manually set the dimension? What is the benefit of setting 100 dimensions when the model was built with 1500?

Tasks

  • Update OpenAI instructions in /experimental/vector_search

References

ah I had missed that one, hello there

Why would a user manually set the dimension? What is the benefit of setting 100 dimensions when the model was built with 1500?

this is an "accuracy" vs "storage and compute" trade-off.

See the announcement blogpost from OpenAI, section "Native support for shortening embeddings" (why aren't people putting anchors on all section titles? I don't know...)