text: database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Indexâ„¢ 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.ğŸ“„ï¸� RunhouseThis page covers how to use the Runhouse ecosystem within LangChain.ğŸ“„ï¸� RWKV-4This page covers how to use the RWKV-4 wrapper within LangChain.ğŸ“„ï¸� SageMaker EndpointAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.ğŸ“„ï¸� SearxNG Search APIThis page covers how to use the SearxNG search API within LangChain.ğŸ“„ï¸� SerpAPIThis page covers how to use the SerpAPI search APIs within LangChain.ğŸ“„ï¸� Shale ProtocolShale Protocol provides production-ready inference APIs for open LLMs. It's a Plug & Play API as it's hosted on a highly scalable GPU cloud infrastructure.ğŸ“„ï¸� SingleStoreDBSingleStoreDB is a high-performance distributed SQL database that supports deployment both in the cloud and on-premises. It provides vector storage, and vector functions including dotproduct and euclideandistance, thereby supporting AI applications that require text similarity matching.ğŸ“„ï¸� scikit-learnscikit-learn is an open source collection of machine learning algorithms,ğŸ“„ï¸� SlackSlack is an instant messaging program.ğŸ“„ï¸� spaCyspaCy is an open-source software library for advanced natural language processing, written in the