Comments (6)
The workflow should be similar. I think. We could make a demo based on llama index to see if there is anything we miss.
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Maybe we could add an example to showcase how to use Katib and LlamaIndex to AutoRAG.
Not sure if there is any new feature to be implemented.
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Related: https://github.com/Marker-Inc-Korea/AutoRAG
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Are you thinking of adding an example that uses the proposed tuning API for LLMs to demonstrate Auto-RAG?
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@tariq-hasan It should work. But I do not have the bandwidth for it. I'm simply presenting the idea for consideration at this point.
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Thanks for creating this @gaocegege.
Are there any differences to optimize these HPs for RAG (e.g. chunking strategies and window sizes) compare to our current optimization flow with Experiment -> Suggestion -> Trials?
I guess, Trials can consume prompt and produce the metrics.
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Related Issues (20)
- DARTS algorithm fails to create more than one trial HOT 2
- Replace reflect.DeepEqual with cmp.Diff in tests HOT 8
- Flaky Test: Trial status is succeeded and metrics are properly populated HOT 4
- Update experiment instance status failed: the object has been modified HOT 1
- Update the kubernetes object's status with server-side apply
- Trial fails to be marked as completed after reporting the metrics
- Deprecate Skopt Suggestion Service HOT 21
- Define the Python deprecation/supporting policies for the Katib SDK HOT 3
- Whether the hyperparameter search algorithm will refer to the value of additionalMetricNames HOT 11
- Tuning API in Katib for LLMs HOT 4
- Migrate KatibCertGenerator to OPA CertController
- Migrate away from deprecated github.com/hpcloud/tail
- [image] enas-cnn-cifar10-cpu:v0.16.0 does not exist
- Return validation errors after all fields are verified HOT 3
- some questions about NAS HOT 3
- Documentation Improvements for Katib 0.17 HOT 2
- Update third party worflows in the gh actions. HOT 2
- [SDK] Support Docker image as objective in the `tune` API HOT 5
- katib use crd as tail template HOT 8
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