langchain/docs/extras/integrations/providers/rockset.mdx

# Rockset

>[Rockset](https://rockset.com/product/) is a real-time analytics database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Index™ on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemaless data makes it a perfect choice for running vector search with metadata filters. 

## Installation and Setup

Make sure you have Rockset account and go to the web console to get the API key. Details can be found on [the website](https://rockset.com/docs/rest-api/).

```bash
pip install rockset
```

## Vector Store

See a [usage example](/docs/integrations/vectorstores/rockset).

```python
from langchain.vectorstores import Rockset 
```

## Document Loader

See a [usage example](/docs/integrations/document_loaders/rockset).
```python
from langchain.document_loaders import RocksetLoader
```

## Chat Message History

See a [usage example](/docs/integrations/memory/rockset_chat_message_history).
```python
from langchain.memory.chat_message_histories import RocksetChatMessageHistory
```