diff --git a/qdrant-landing/content/documentation/tutorials/self-query.md b/qdrant-landing/content/documentation/tutorials/self-query.md index e3d7fb4a8..795a3f312 100644 --- a/qdrant-landing/content/documentation/tutorials/self-query.md +++ b/qdrant-landing/content/documentation/tutorials/self-query.md @@ -5,6 +5,9 @@ weight: 24 # Self Query Retrieval +| Time: 45 min | Level: Intermediate | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/qdrant/examples/blob/master/self-query/self-query.ipynb) |Output: [GitHub](https://github.com/qdrant/examples/tree/master/self-query)| +|--------------|---------------------|--|----| + In this tutorial, we’ll walk through how to create a vector-based search system for wine reviews using Qdrant. We will also touch on **self-query retrieval**, a technique that makes querying smarter, more flexible, and more intuitive.