Metadata-Version: 2.4
Name: llama-index-vector-stores-bigquery
Version: 0.2.0
Summary: llama-index vector_stores bigquery vector search integration
License-Expression: MIT
License-File: LICENSE
Requires-Python: <4.0,>=3.10
Requires-Dist: google-cloud-bigquery<4,>=3.34.0
Requires-Dist: llama-index-core<0.15,>=0.13.0
Description-Content-Type: text/markdown

# LlamaIndex Vector_Stores Integration: BigQuery

Vector store index using Google BigQuery.
Supports efficient storage and querying of vector embeddings using BigQuery's native vector search capabilities.
For more information, see the official [BigQuery Vector Search Documentation](https://cloud.google.com/bigquery/docs/vector-search-intro)

## 🔐 Required IAM Permissions

To use this integration, ensure your account has the following permissions:

- `roles/bigquery.dataOwner` (BigQuery Data Owner)
- `roles/bigquery.dataEditor` (BigQuery Data Editor)

## 🔧 Installation

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

## 💻 Example Usage

```python
from google.cloud.bigquery import Client
from llama_index.vector_stores.bigquery import BigQueryVectorStore

client = Client()

vector_store = BigQueryVectorStore(
    table_id="my_bigquery_table",
    dataset_id="my_bigquery_dataset",
    bigquery_client=client,
)
```
