remote::chromadb

Description

Chroma 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:

pip install chromadb

Documentation

See Chroma's documentation for more details about Chroma in general.

Configuration

Field	Type	Required	Default	Description
url	str | None	No
persistence	KVStoreReference	No		Config for KV store backend
persistence.namespace	str	No		Key prefix for KVStore backends
persistence.backend	str	No		Name of backend from storage.backends

Sample Configuration

url: ${env.CHROMADB_URL}
persistence:
  namespace: vector_io::chroma_remote
  backend: kv_default