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Tutorial on measuring retrieval quality (#514)
* Add first draft of the retrieval quality tutorial * Adjust tutorial weight * Remove non-default collection config to simplify the tutorial * Add link to (N)DCG article * Fix typo * Add info about the distance function * Apply suggestions from code review Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Add link to IVF --------- Co-authored-by: Atita Arora <atarora@users.noreply.github.com>
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@@ -25,4 +25,5 @@ These tutorials demonstrate different ways you can build vector search into your
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| [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python |
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| [Multitenancy with LlamaIndex](../tutorials/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex |
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| [HuggingFace datasets](../tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets |
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| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
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| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant |
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