---
description: |
  [Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.
  It allows you to store and query vectors directly within a Weaviate database.
  That means you're not limited to storing vectors in memory or in a separate service.

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


  ## Usage

  To use Weaviate 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

  To install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).

  ## Documentation
  See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.
sidebar_label: Remote - Weaviate
title: remote::weaviate
---

# remote::weaviate

## Description


[Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.
It allows you to store and query vectors directly within a Weaviate database.
That means you're not limited to storing vectors in memory or in a separate service.

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


## Usage

To use Weaviate 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

To install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).

## Documentation
See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.


## Configuration

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `weaviate_api_key` | `str \| None` | No |  | The API key for the Weaviate instance |
| `weaviate_cluster_url` | `str \| None` | No | localhost:8080 | The URL of the Weaviate cluster |
| `persistence` | `llama_stack.core.storage.datatypes.KVStoreReference \| None` | No |  | Config for KV store backend (SQLite only for now) |

## Sample Configuration

```yaml
weaviate_api_key: null
weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080}
persistence:
  namespace: vector_io::weaviate
  backend: kv_default
```
