docs: add simple usage example for retrieval_core task#32
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WalkthroughAdded a new documentation page Changes
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Inline comments:
In `@docs/usage/retrieval_core.md`:
- Around line 3-4: Update the description of the retrieval_core task to remove
any implication that it benchmarks runtime/latency and instead state that
solve() estimates hit counts by sampling a subset of generated documents and
returns those estimates with a confidence score; explicitly mention the
probabilistic nature of the results and that sampling trades exactness for
speed, but do not claim a direct measurement of execution time or throughput.
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docs/usage/retrieval_core.md
| ## What it does | ||
| The `retrieval_core` task acts like a mini search engine. It generates a bunch of fake text documents and then calculates how many times specific words appear across those documents. | ||
| Instead of checking every single file, it uses math to sample just a few of them to estimate the final results. This is great for testing probabilistic search approximations. | ||
| ## Example Script |
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Please add demo screenshot of this script in the PR
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Please resolve the failing CI |
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And please add Fixes #20 in your PR description to link the issue to the PR. |
What it does?
fixes issue #20
What I did?
1.Added a folder ('/docs/usage')
2.Created ('retrieval-core.md') and added an example script with explanation of what does it do.
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