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feat(sample): add a pipeline example about rag #11223
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Hi @sefgsefg. Thanks for your PR. I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
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/rerun-all |
@sefgsefg There's something wrong in your PR. You are changing +300 files and adding +50 commits. Verify if your branch needs rebase. /hold |
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: Rhm-B-WT <[email protected]> Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
Signed-off-by: sefgsefg <[email protected]>
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here.
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@rimolive Uh sorry, I didn't notice that I add origin update into commit. |
/rerun-all |
File locate: /samples/contrib/RAG_kubeflow
Description: I add an example about running RAG with LLM in kubeflow pipeline. Users can upload their data and choose LLM model from huggingface, and they can input the question to test the model. The model will answer from the data that user upload.
btw, I had try to use action to run this example, but this code involve some account infomation (like huggingface). Users can follow the README.md to create the database and input some options, like what model users want to use.