Metadata-Version: 2.4
Name: llama-index-retrievers-vectorize
Version: 0.2.1
Summary: llama-index retrievers Vectorize.io integration
Project-URL: Repository, https://github.com/run-llama/llama_index.git
Project-URL: Issues, https://github.com/run-llama/llama_index/issues
Author-email: Vectorize <contact@vectorize.io>
License-Expression: MIT
Keywords: llama-index,retrieval,search,vectorize
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Build Tools
Requires-Python: >=3.9
Requires-Dist: llama-index-core<0.15,>=0.13.0
Requires-Dist: vectorize-client>=0.1.3
Description-Content-Type: text/markdown

# LlamaIndex Retrievers Integration: Vectorize

> [Vectorize](https://vectorize.io/) RAG-as-a-Service handles the messy, hard parts of AI development,
> so you can focus on building your applications.

## Installation

```bash
pip install llama-index-retrievers-vectorize
```

### Usage

```python
from llama_index.retrievers.vectorize import VectorizeRetriever

retriever = VectorizeRetriever(
    api_token="...",
    organization="...",
    pipeline_id="...",
)
retriever.retrieve("query")
```
