Rockset 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

Make sure you have Rockset account and go to the web console to get the API key. Details can be found on the website. 
pip install rockset

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Vector Store

See a usage example. 
from langchain_community.vectorstores import Rockset

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Document Loader

See a usage example. 
from langchain_community.document_loaders import RocksetLoader

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Chat Message History

See a usage example. 
from langchain_community.chat_message_histories import RocksetChatMessageHistory