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<!-- 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>
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26 lines
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# Rockset
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>[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.
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## Installation and Setup
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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/).
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```bash
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pip install rockset
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```
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## Vector Store
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See a [usage example](/docs/modules/data_connection/vectorstores/integrations/rockset.html).
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```python
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from langchain.vectorstores import RocksetDB
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```
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## Document Loader
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See a [usage example](docs/modules/data_connection/document_loaders/integrations/rockset).
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```python
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from langchain.document_loaders import RocksetLoader
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``` |