DataStax acquires the startup behind low-code AI builder Langflow

DataStax made a name for itself by commercializing the open source Apache Cassandra NoSQL database, but these days, the company’s focus is on using its database chops to build a “one-stop GenAI stack.” One of the first building blocks for this was to bring vector search capabilities to its hosted Astra DB service last summer. Since then, it has built out its stack for building GenAI applications powered by Retrieval-Augmented Generation (RAG) and today, the company marked the next milestone in this direction by announcing that it has acquired Logspace, the company behind Langflow. Have acquired. -Code tools for building RAG-based applications.

DataStax did not share the acquisition price.

Logspace launched in 2022 with the mission of helping businesses adopt machine learning. Initially, the company was more of a consulting company than a product company. Logspace co-founder and CEO Rodrigo Nader previously worked on machine learning problems at enterprise AI company Bitvor along with co-founder and CTO Gabriel Luiz Freitas Almeida. They self-funded the company and by 2023, the founding team launched Langflow, which gained some popularity as an early open source low-code/no-code tool for building GenAI apps.

Image Credit: logspace/datastacks

“This acquisition will provide existing Langflow developers and current DataStax developers additional resources and integrations to enhance their applications to match the scale of their ambitions,” said Chet Kapoor, CEO and President of DataStax. “Langflow is focused on democratizing and accelerating generative AI development for any developer or company, and by joining DataStax, we will work together to enable developers to get their new generative AI ideas on a faster path to production. are doing.”

The DataStax team argues that this acquisition effectively completes its effort to build a one-stop generator AI stack. Finally, it can now offer its users a single tool that combines DataStax’s built-in connection to its Astra DB and tools like the Langchain Toolkit and Laminedex to connect different data sources, in use to create GenAI chatbots. With easy visual editor. For internal and external use.

Langflow will continue to operate as a separate entity, so existing users should not notice any immediate changes.

“We couldn’t be more excited about joining the DataStax team and supercharging our ability to grow the Langflow platform, bringing it to more researchers, developers, enterprises, and entrepreneurs working on generative AI applications,” said Nader. ” “With DataStax, we will focus solely on the execution of our product vision, roadmap, and community collaboration, and continue to add the greatest breadth of integration across various AI ecosystem projects and products – including more data sources and databases, Models included. Applications and APIs.”