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88 lines
2.5 KiB
Text
88 lines
2.5 KiB
Text
---
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description: |
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[Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.
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It allows you to store and query vectors directly within a Weaviate database.
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That means you're not limited to storing vectors in memory or in a separate service.
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## Features
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Weaviate supports:
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- Store embeddings and their metadata
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- Vector search
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- Full-text search
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- Hybrid search
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- Document storage
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- Metadata filtering
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- Multi-modal retrieval
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## Usage
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To use Weaviate in your Llama Stack project, follow these steps:
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1. Install the necessary dependencies.
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2. Configure your Llama Stack project to use chroma.
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3. Start storing and querying vectors.
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## Installation
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To install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).
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## Documentation
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See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.
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sidebar_label: Remote - Weaviate
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title: remote::weaviate
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---
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# remote::weaviate
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## Description
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[Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.
|
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It allows you to store and query vectors directly within a Weaviate database.
|
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That means you're not limited to storing vectors in memory or in a separate service.
|
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|
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## Features
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Weaviate supports:
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- Store embeddings and their metadata
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- Vector search
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- Full-text search
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- Hybrid search
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- Document storage
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- Metadata filtering
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- Multi-modal retrieval
|
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|
|
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## Usage
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To use Weaviate in your Llama Stack project, follow these steps:
|
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1. Install the necessary dependencies.
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2. Configure your Llama Stack project to use chroma.
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3. Start storing and querying vectors.
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## Installation
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To install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).
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## Documentation
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See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.
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## Configuration
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| Field | Type | Required | Default | Description |
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|-------|------|----------|---------|-------------|
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| `weaviate_api_key` | `str \| None` | No | | The API key for the Weaviate instance |
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| `weaviate_cluster_url` | `str \| None` | No | localhost:8080 | The URL of the Weaviate cluster |
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| `kvstore` | `llama_stack.core.storage.datatypes.KVStoreReference \| None` | No | | Config for KV store backend (SQLite only for now) |
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## Sample Configuration
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```yaml
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weaviate_api_key: null
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weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080}
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kvstore:
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namespace: vector_io::weaviate
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backend: kv_default
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```
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