landing_page/qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md

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Installing Dependencies	Install Python dependencies including FastEmbed and Qdrant client.	2

{{< date >}} Module 0 {{< /date >}}

Installing Dependencies

To work with multi-vector search in Qdrant, you'll need several Python libraries: Qdrant client for search and FastEmbed for multi-vector embeddings.

We'll set up a clean Python environment and install everything you need to start experimenting with multi-vector representations.

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With your environment set up, you're ready to explore multi-vector representations for textual data in Module 1.