Metadata-Version: 2.1
Name: llama-index-vector-store-firestore
Version: 0.1.0
Summary: llama-index vector_store firestore integration
License: MIT
Author: Your Name
Author-email: you@example.com
Requires-Python: >=3.8.1,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: google-cloud-firestore (>=2.16.0,<3.0.0)
Requires-Dist: llama-index-core (>=0.10.0,<0.11.0)
Requires-Dist: more_itertools (>=10.2.0,<11.0.0)
Description-Content-Type: text/markdown

# LlamaIndex Vector_Store Integration: Firestore

<a href="https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/vector_stores/FirestoreVectorStore.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

A LlamaIndex vector store using Cloud Firestore as the backend.

## Usage

Pre-requisite:

```bash
pip install llama-index-vector-stores-firestore
```

Minimal example:

```python
from llama_index_vector_stores_firestore import FirestoreVectorStore

store = FirestoreVectorStore(
    collection_name=COLLECTION_NAME,
)
```

## More examples and references

Check out the [notebook](https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/vector_stores/FirestoreVectorStore.ipynb) for detailed usage.

