Sources checked
Embed questions and passages with compatible settings
In an original article search example, a question and document passages are embedded using compatible settings. The system retrieves nearby passages, then a reader or another component checks whether they answer the question.
Changing the model can invalidate an index
Changing the embedding model can change the vector space. Do not mix new query vectors with an old document index without verifying compatibility or rebuilding the index.
What to remember
Version the embedding model and index.
Sources & further reading
How this story was made
Written by Kristian Kostov with AI assistance and checked against the linked sources. Company performance claims are attributed to the company. Analysis reflects AiLookout’s interpretation; we have not independently tested the products discussed. Cover photography is illustrative and does not depict the specific announcement or product.
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