--- orphan: true --- # 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.