Metadata-Version: 2.5
Name: solr-haystack
Version: 1.0.0
Summary: Haystack Document Store for Apache Solr
Project-URL: Documentation, https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/solr#readme
Project-URL: Issues, https://github.com/deepset-ai/haystack-core-integrations/issues
Project-URL: Source, https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/solr
Author-email: deepset GmbH <info@deepset.ai>
License-Expression: Apache-2.0
License-File: LICENSE.txt
Keywords: apache-solr,bm25,document-store,haystack,retriever,solr,vector-search
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
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: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.10
Requires-Dist: haystack-ai>=2.28.0
Requires-Dist: httpx>=0.28.0
Description-Content-Type: text/markdown

# solr-haystack

[![PyPI - Version](https://img.shields.io/pypi/v/solr-haystack.svg)](https://pypi.org/project/solr-haystack)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/solr-haystack.svg)](https://pypi.org/project/solr-haystack)

- [Integration page](https://haystack.deepset.ai/integrations/solr)
- [Changelog](https://github.com/deepset-ai/haystack-core-integrations/blob/main/integrations/solr/CHANGELOG.md)

---

## Contributing

Refer to the general [Contribution Guidelines](https://github.com/deepset-ai/haystack-core-integrations/blob/main/CONTRIBUTING.md).

To run integration tests locally, you need a Docker container running Solr.
Use the provided `docker-compose.yml` file to start the container: `docker compose up -d --wait`.

The document store requires Solr 9.6 or newer. To test against the oldest supported release, override
the image. Recreate the volume as well, because an older Solr cannot open a newer one's index:

```console
docker compose down -v
SOLR_IMAGE=solr:9.10.1 docker compose up -d --wait
```
