chore: Enabling Milvus for VectorIO CI

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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Francisco Javier Arceo 2025-06-27 21:25:57 -04:00
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# Faiss
[Faiss](https://github.com/facebookresearch/faiss) is an inline 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.
## Features
- Lightweight and easy to use
- Fully integrated with Llama Stack
- GPU support
## Usage
To use Faiss in your Llama Stack project, follow these steps:
1. Install the necessary dependencies.
2. Configure your Llama Stack project to use Faiss.
3. Start storing and querying vectors.
## Installation
You can install Faiss using pip:
```bash
pip install faiss-cpu
```
## Documentation
See [Faiss' documentation](https://faiss.ai/) or the [Faiss Wiki](https://github.com/facebookresearch/faiss/wiki) for
more details about Faiss in general.