diff --git a/qdrant-landing/content/articles/new-recommendation-api.md b/qdrant-landing/content/articles/new-recommendation-api.md index 1f6ed90ce..493958315 100644 --- a/qdrant-landing/content/articles/new-recommendation-api.md +++ b/qdrant-landing/content/articles/new-recommendation-api.md @@ -8,7 +8,7 @@ small_preview_image: /articles_data/new-recommendation-api/icon.svg weight: -80 author: Kacper Ɓukawski author_link: https://medium.com/@lukawskikacper -date: 2023-10-25T11:46:00.000Z +date: 2023-10-25T09:46:00.000Z --- The most popular use case for vector search engines, such as Qdrant, is Semantic search with a single query vector. Given the