forked from phoenix-oss/llama-stack-mirror
31 lines
739 B
Markdown
31 lines
739 B
Markdown
---
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orphan: true
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---
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# Qdrant
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[Qdrant](https://qdrant.tech/documentation/) is a remote vector database provider for Llama Stack. It
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allows you to store and query vectors directly in memory.
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That means you'll get fast and efficient vector retrieval.
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## Features
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- Easy to use
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- Fully integrated with Llama Stack
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## Usage
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To use Qdrant in your Llama Stack project, follow these steps:
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1. Install the necessary dependencies.
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2. Configure your Llama Stack project to use Faiss.
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3. Start storing and querying vectors.
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## Installation
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You can install Qdrant using docker:
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```bash
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docker pull qdrant/qdrant
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```
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## Documentation
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See the [Qdrant documentation](https://qdrant.tech/documentation/) for more details about Qdrant in general.
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