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qdrant inline provider

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Signed-off-by: Daniele Martinoli <dmartino@redhat.com>
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Daniele Martinoli 2025-02-26 10:00:37 +01:00
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docs/source/providers/vector_io/qdrant.md
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@ -3,7 +3,7 @@ orphan: true
---
# Qdrant
[Qdrant](https://qdrant.tech/documentation/) is a remote vector database provider for Llama Stack. It
[Qdrant](https://qdrant.tech/documentation/) is a inline and remote vector database provider for Llama Stack. It
allows you to store and query vectors directly in memory.
That means you'll get fast and efficient vector retrieval.
@ -17,7 +17,7 @@ That means you'll get fast and efficient vector retrieval.
To use Qdrant in your Llama Stack project, follow these steps:
1. Install the necessary dependencies.
2. Configure your Llama Stack project to use Faiss.
2. Configure your Llama Stack project to use Qdrant.
3. Start storing and querying vectors.
## Installation