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Split extractor embedding query and QA calls #35

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davidmezzetti opened this issue Nov 1, 2020 · 0 comments
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Split extractor embedding query and QA calls #35

davidmezzetti opened this issue Nov 1, 2020 · 0 comments
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v1.4.0

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Currently, extractor.py has a single method to run an embeddings query and then run extractive QA over those results.

This should be split into two separate methods, which allows external callers to just run the embeddings search without executing the QA extraction. This will allow downstream systems more flexibility in working with the extractor process.
@davidmezzetti davidmezzetti self-assigned this Nov 1, 2020
asysc2020 pushed a commit to asysc2020/txtai that referenced this issue Dec 20, 2020
@davidmezzetti @asysc2020
Split extractor call into two separate methods, an embeddings search …
dd2a2ab 
…and QA execution. Closes neuml#35.
@davidmezzetti davidmezzetti added this to the v1.4.0 milestone May 13, 2021
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