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>
This commit is contained in:
Kacper Łukawski
2024-01-12 13:59:57 +01:00
committed by GitHub
co-authored by Atita Arora
parent 4e026132e8
commit 7d724fb0cd
3 changed files with 228 additions and 0 deletions
@@ -25,4 +25,5 @@ These tutorials demonstrate different ways you can build vector search into your
| [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python |
| [Multitenancy with LlamaIndex](../tutorials/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex |
| [HuggingFace datasets](../tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets |
| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant |