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add installation note (#18)
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README.md

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@@ -15,6 +15,10 @@ To use the Retrieval Optimizer, you start with a labeled data set consisting of
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The Retrieval Optimizer then lets you evaluate critical tradeoffs between **cost, speed, and latency**, helping you understand how different embedding models, retrieval strategies, and index configurations impact overall system performance. The tool's **Bayesian optimization** mode lets you fine-tune these index configurations. Ultimately, the tools let you implement **metrics-driven development** for your search applications — ensuring that decisions are grounded in data, not assumptions.
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# Installation
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`pip install redis-retrieval-optimizer` | [pypi](https://pypi.org/project/redis-retrieval-optimizer/)
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# Example notebooks
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For complete code examples, see the following notebooks:

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