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Abdon Pijpelink
2025-12-08 12:00:00 +01:00
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qdrant-landing/content/documentation/examples/llama-index-multitenancy.md
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@@ -38,7 +38,7 @@ as the documents may contain sensitive information.
### Creating vector store
[QdrantVectorStore](https://docs.llamaindex.ai/en/stable/examples/vector_stores/QdrantIndexDemo.html) is a
[QdrantVectorStore](https://developers.llamaindex.ai/python/examples/vector_stores/qdrantindexdemo/) is a
wrapper around Qdrant that provides all the necessary methods to work with your vector database in LlamaIndex.
Let's create a vector store for our collection. It requires setting a collection name and passing an instance
of `QdrantClient`.