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docs: add Google AlloyDB to vectorstores index #4921

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docs: add Google AlloyDB to vectorstores index
madamsetty-pavan Jul 15, 2026
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docs: highlight native AlloyDB AI features in google_alloydb vector s…
madamsetty-pavan Jul 15, 2026
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8 changes: 8 additions & 0 deletions src/oss/python/integrations/vectorstores/google_alloydb.mdx
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Expand Up @@ -7,6 +7,14 @@ description: "Integrate with the Google alloydb for postgresql vector store usin

This notebook goes over how to use `AlloyDB for PostgreSQL` to store vector embeddings with the `AlloyDBVectorStore` class.

**AlloyDB AI Features**: This integration natively supports the `alloydb_ai_nl` and `google_ml_integration` extensions, providing database-native AI capabilities:
* **Zero-Knob ScaNN**: Auto-tuning, self-managing vector indices via `ScaNNIndex(mode="AUTO")`.
* **Columnar Engine & Vector Assist**: Accelerate vector queries dynamically using the `ColumnarEngine`.
* **Semantic Reranking**: Re-rank retrieved documents natively in the database using the `AlloyDBDocumentCompressor` (backed by `google_ml.rank`).
* **Natural Language to SQL**: Build native SQL Agents using `AlloyDBToolkit`.
* **In-Database AI Tools**: Utilize LLM functions directly in SQL (`AlloyDBIfTool`, `AlloyDBSummaryTool`, `AlloyDBSentimentTool`).
* **Multimodal Embeddings**: Generate vectors natively in the database (e.g., using `aembed_image()`).

Learn more about the package on [GitHub](https://github.com/googleapis/langchain-google-alloydb-pg-python/).

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/googleapis/langchain-google-alloydb-pg-python/blob/main/docs/vector_store.ipynb)
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30 changes: 30 additions & 0 deletions src/oss/python/integrations/vectorstores/index.mdx
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Expand Up @@ -580,6 +580,35 @@ vector_store = ElasticsearchStore(
)
```

</Accordion>
<Accordion title="Google AlloyDB">

<CodeGroup>
```bash pip
pip install -qU langchain-google-alloydb-pg
```

```bash uv
uv add langchain-google-alloydb-pg
```
</CodeGroup>
```python
from langchain_google_alloydb_pg import AlloyDBEngine, AlloyDBVectorStore

engine = AlloyDBEngine.from_instance(
project_id="my-project",
region="us-central1",
cluster="my-cluster",
instance="my-instance",
database="my-database",
)

vector_store = AlloyDBVectorStore.create_sync(
engine=engine,
table_name="my_vectors",
embedding_service=embeddings
)
```
</Accordion>
<Accordion title="Milvus">

Expand Down Expand Up @@ -832,6 +861,7 @@ vector_store = ValkeyVectorStore(
| [`CouchbaseSearchVectorStore`](/oss/integrations/vectorstores/couchbase) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
| [`DatabricksVectorSearch`](/oss/integrations/vectorstores/databricks_vector_search) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
| [`ElasticsearchStore`](/oss/integrations/vectorstores/elasticsearch) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
| [`Google AlloyDB`](/oss/integrations/vectorstores/google_alloydb) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ |
| [`InMemoryVectorStore`](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore) | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ |
| [`LambdaDB`](/oss/integrations/vectorstores/lambdadb) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
| [`Milvus`](/oss/integrations/vectorstores/milvus) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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