From 1b4016e2ea12f7535dc1ac37fdc03a5fb06f37b5 Mon Sep 17 00:00:00 2001 From: David Sertic <62056091+davidmyriel@users.noreply.github.com> Date: Tue, 4 Jul 2023 14:27:46 +0200 Subject: [PATCH] fix doc structure and next steps --- .../content/documentation/tutorials/search-beginners.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/qdrant-landing/content/documentation/tutorials/search-beginners.md b/qdrant-landing/content/documentation/tutorials/search-beginners.md index e8c04e9d6..115798398 100644 --- a/qdrant-landing/content/documentation/tutorials/search-beginners.md +++ b/qdrant-landing/content/documentation/tutorials/search-beginners.md @@ -8,6 +8,8 @@ weight: 14 | Time: 5 - 15 min | Level: Beginner | | | | --- | ----------- | ----------- |----------- | +## Overview + If you are new to vector databases, this tutorial is for you. In 5 minutes you will build a semantic search engine for science fiction books. After you set it up, you will ask the engine about an impending alien threat. Your creation will recommend books as preparation for a potential space attack. Before you begin, you need to have a [recent version of Python](https://www.python.org/downloads/) installed. If you don't know how to run this code in a virtual environment, follow [this tutorial](https://towardsdatascience.com/creating-and-using-virtual-environment-on-jupyter-notebook-with-python-db3f5afdd56a) first. @@ -151,4 +153,8 @@ The query has been narrowed down to one result from 2008. ```python {'name': 'The Three-Body Problem', 'description': 'Humans encounter an alien civilization that lives in a dying system.', 'author': 'Liu Cixin', 'year': 2008} score: 0.45902943411768216 -``` \ No newline at end of file +``` + +## Next Steps + +Congratulations, you have just created your very first search engine! Trust us, the rest of Qdrant is not that complicated, either. For your next tutorial you should try building an actual [Neural Search Service with a complete API and a dataset](../../tutorials/neural-search/).