forked from phoenix-oss/llama-stack-mirror
19ae4b35d9
# What does this PR do? Adding Provider sections to docs (some of these will be empty and need updating). This PR is still a draft while I seek feedback from other contributors. I opened it to make the structure visible in the linked GitHub Issue. # Closes https://github.com/meta-llama/llama-stack/issues/1189 - Providers Overview Page  - SQLite-Vec specific page  ## Test Plan N/A [//]: # (## Documentation) --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
36 lines
901 B
Markdown
36 lines
901 B
Markdown
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---
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# Chroma
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[Chroma](https://www.trychroma.com/) is an inline and remote vector
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database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma 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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Chroma 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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- 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 Chrome 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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You can install chroma using pip:
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```bash
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pip install chromadb
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```
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## Documentation
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See [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.
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