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 RocksetDB
```

## Document Loader

See a [usage example](docs/modules/data_connection/document_loaders/integrations/rockset).
```python
from langchain.document_loaders import RocksetLoader
```
docs: vectorstore upgrades 2 (#6796) updated vectorstores/ notebooks; added new integrations into ecosystem/integrations/ @dev2049 @rlancemartin, @eyurtsev 1 year ago			`# 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`

Update Integrations links (#8206) 1 year ago			`See a [usage example](/docs/integrations/vectorstores/rockset).`
docs: vectorstore upgrades 2 (#6796) updated vectorstores/ notebooks; added new integrations into ecosystem/integrations/ @dev2049 @rlancemartin, @eyurtsev 1 year ago
			```python
			`from langchain.vectorstores import RocksetDB`
			```
Integrate Rockset as a document loader (#7681) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Integrate [Rockset](https://rockset.com/docs/) as a document loader. Issue: None Dependencies: Nothing new (rockset's dependency was already added [here](https://github.com/hwchase17/langchain/pull/6216)) Tag maintainer: @rlancemartin I have added a test for the integration and an example notebook showing its use. I ran `make lint` and everything looks good. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> 1 year ago
			`## Document Loader`

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