From 6f7f6fd55e74ae05fb097b6abdc292f1bc606272 Mon Sep 17 00:00:00 2001 From: kanungle Date: Thu, 23 Oct 2025 09:11:05 -0700 Subject: [PATCH] fixed color dataset --- .../content/course/essentials/day-0/pitstop-project.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qdrant-landing/content/course/essentials/day-0/pitstop-project.md b/qdrant-landing/content/course/essentials/day-0/pitstop-project.md index 8266f80ad..d53a5d43a 100644 --- a/qdrant-landing/content/course/essentials/day-0/pitstop-project.md +++ b/qdrant-landing/content/course/essentials/day-0/pitstop-project.md @@ -40,7 +40,7 @@ Before creating data, decide what each of the four dimensions in your vectors wi **Example Ideas:** - **Product categories**: Create vectors where each dimension represents a feature (affordability, quality, popularity, innovation). Electronics might be `[0.8, 0.7, 0.9, 0.6]`, while books could be `[0.3, 0.9, 0.4, 0.8]`. -- **Color palettes**: Each dimension represents color intensity (red, green, blue, brightness). Bright red: `[0.9, 0.1, 0.1, 0.8]`, forest green: `[0.1, 0.8, 0.2, 0.5]`. +- **Color palettes**: Each dimension represents color (red, green, blue). Bright red: `[0.9, 0.1, 0.1]`, forest green: `[0.1, 0.8, 0.2]`. - **Data types**: Dimensions for structure, size, complexity, frequency. Spreadsheets: `[0.9, 0.6, 0.3, 0.7]`, images: `[0.2, 0.8, 0.5, 0.4]`. - **Movie genres**: Action, drama, comedy, sci-fi intensities. Action thriller: `[0.9, 0.3, 0.1, 0.7]`, romantic comedy: `[0.1, 0.6, 0.9, 0.2]`.