– DataStax acquired Logspace, the company behind Langflow, a low-code tool for building Retrieval-Augmented Generation (RAG) based applications.
– The acquisition completes DataStax’s effort to build a one-stop generative AI stack, offering users a single tool with connections to Astra DB, LangChain toolkit, and LlamaIndex.
– Langflow will continue to operate as a separate entity, with a focus on democratizing and accelerating generative AI development.
DataStax has shifted its focus from commercializing the open-source Apache Cassandra NoSQL database to building a “one-stop GenAI stack.” Last summer, the company added vector search capabilities to its hosted Astra DB service, and now it has acquired Logspace, the company behind Langflow, a low-code tool for building Retrieval-Augmented Generation (RAG) based applications. Logspace started off as a consultancy in 2022, eventually launching Langflow in 2023 as an open-source low-code/no-code tool for creating GenAI apps.
DataStax did not disclose the price of the acquisition. By acquiring Logspace, DataStax aims to provide additional resources to developers for building generative AI applications. The acquisition completes DataStax’s effort to create a one-stop generative AI stack, offering users a single tool with built-in connections to Astra DB, LangChain toolkit, and LlamaIndex. Langflow will continue to operate as a separate entity under DataStax.
Chet Kapoor, CEO and chairman of DataStax, stated that the acquisition will help developers accelerate generative AI development and bring their ideas to production quickly. Nader, the co-founder of Logspace, expressed excitement about joining the DataStax team and expanding the Langflow platform to more researchers, developers, enterprises, and entrepreneurs working on generative AI applications. With DataStax, Langflow aims to enhance its product vision, roadmap, community collaboration, and integration across various AI ecosystem projects.