From 007be0456ae27a87204f1807624eac1a0407f8cf Mon Sep 17 00:00:00 2001 From: davidmyriel Date: Thu, 21 Nov 2024 17:01:28 -0800 Subject: [PATCH] Update data-ingestion-beginners.md --- .../content/documentation/data-ingestion-beginners.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qdrant-landing/content/documentation/data-ingestion-beginners.md b/qdrant-landing/content/documentation/data-ingestion-beginners.md index 3891de205..2837dae36 100644 --- a/qdrant-landing/content/documentation/data-ingestion-beginners.md +++ b/qdrant-landing/content/documentation/data-ingestion-beginners.md @@ -8,7 +8,7 @@ social_preview_image: /documentation/examples/data-ingestion-beginners/social_pr # Send S3 Data to Qdrant Vector Store with LangChain -| Time: 30 min | Level: Beginner | Output: [GitHub](https://github.com/qdrant/qdrant_demo/tree/sentense-transformers) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1kPktoudAP8Tu8n8l-iVMOQhVmHkWV_L9?usp=sharing) | +| Time: 30 min | Level: Beginner | | | | --- | ----------- | ----------- |----------- | **Data ingestion into a vector store** is essential for building effective search and retrieval algorithms, especially since nearly 80% of data is unstructured, lacking any predefined format.