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Research and debug

  • Ad-hoc retrieval: Quickly prototype queries against selected retrievers. Tweak inputs, filters, sorts, and grouping to validate pipeline behavior without code.
  • Inspect stage outputs: Compare per-stage results, scores, and timings to tune parameters.
  • Debug inference: Call inference backends directly to inspect embeddings and model outputs. API: Debug Inference.
  • Iterate: Promote successful experiments to saved retrievers and wire them into your apps.

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Tips

  • Use small limits and targeted filters while tuning to keep responses fast.
  • Validate feature availability in your collections via Describe Features before testing embedding stages.
1

Pick a retriever

Select the pipeline to test and provide sample inputs.
2

Run and inspect

Compare per-stage results, scores, and timings to tune configs.
3

Debug inference (optional)

Call inference backends to inspect embeddings and raw outputs.
Promote stable experiments to saved retrievers to unlock governance and reuse across environments.