forked from phoenix-oss/llama-stack-mirror
33 lines
938 B
Markdown
33 lines
938 B
Markdown
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orphan: true
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---
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# Weaviate
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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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