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# Chroma

[Chroma](https://www.trychroma.com/) is an inline and remote vector
database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.
That means you're not limited to storing vectors in memory or in a separate service.

## Features
Chroma supports:
- Store embeddings and their metadata
- Vector search
- Full-text search
- Document storage
- Metadata filtering
- Multi-modal retrieval

## Usage

To use Chrome in your Llama Stack project, follow these steps:

1. Install the necessary dependencies.
2. Configure your Llama Stack project to use chroma.
3. Start storing and querying vectors.

## Installation

You can install chroma using pip:

```bash
pip install chromadb
```

## Documentation
See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.