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Need to add passage-level retrieval. Aim for the coolest thing possible, which, I think, is:
- Allow users to specify how each "retrieval item" is processed. Default implementation is 1 result per can…
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### Things to check first
- [X] I have searched the existing issues and didn't find my feature already requested there
### Feature description
I propose enhancing sqlacodegen to include native sup…
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Hello folks, thanks for the great package. I'm looking to build a Content Recommendation Engine. The task is to recommend content to the sales representatives based on their role, skills, skill level,…
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I found the function "extract_feature" in test.py.Does it can be used to feature comparison with image retrieval？
I test this extract feature cost time,it cost about 23/sec per image。
# Extract …
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Hi!
first of all, thanks for this Python implementation of ACT-R!
My question: I'm trying to build a simple demo using PySimpleGUI and PyACT-R.
How can I print the model trace, as you print the go…
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As a RSE I need to know the scientific terms used in the community
- [ ] The relations (equations) between the different terms
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
is it possible to run sql filtering such as where etc. in llama index scale db i wasnt a…
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Hello,
I'm trying to learn multi-modal embedding architecture and was confused about how the existing implementations evaluate the model. I appreciate if you could clarify that to me.
As far as I …
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Hi,
`metrics = tfrs.metrics.FactorizedTopK(
candidates=movies.batch(128).map(movie_model)
)`
I'm trying to figure out how 'candidates' argument works for FactorizedTopK metric from the retrieval…