DataStax made a name for itself by commercializing its open source Apache Cassandra NoSQL database, but more recently the company has focused on using the database's capabilities to build a “one-stop GenAI stack.” Masu. One of the first building blocks to this was introducing vector search functionality to our hosted Astra DB service last summer. Since then, the company has further built out the stack to build his GenAI applications that leverage acquisition augmentation generation (RAG). And today, the company announced its next goal in this direction, announcing that it has acquired his company, Logspace, which developed Langflow. – Code tools for building RAG-based applications.
DataStacks did not disclose the acquisition price.
Logspace was founded in 2022 with a mission to help enterprises adopt machine learning. In its early days, 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 Bitvore with co-founder and CTO Gabriel Luiz Freitas Almeida. They self-funded the company and by 2023, the founding team had launched his Langflow. It quickly gained traction as an early open-source low-code/no-code tool for creating GenAI apps.
Image credit: Logspace/DataStax
“This acquisition will provide current Langflow developers and current DataStax developers with additional resources and integrations to improve their applications as they scale their ambitions,” said Chet Kapoor, CEO and Chairman of DataStax. says. “Langflow is focused on democratizing and accelerating generative AI development for every developer and enterprise, and joining DataStax allows developers to bring novel generative AI ideas to market faster. We will continue to cooperate.”
The DataStax team claims this acquisition effectively completes its efforts to build a one-stop generative AI stack. At the end of the day, DataStax's unique built-in connection to Astra DB and tools like the LangChain toolkit and LlamaIndex for connecting different data sources, combined with an easy-to-use visual editor for building GenAI chatbots, is simple. Now you can provide your users with one tool. Use internally and externally.
Langflow will continue to operate as a separate entity, so existing users should not notice any changes immediately.
“I couldn't be more excited to join the DataStax team and strengthen our ability to grow the Langflow platform and bring it to more researchers, developers, companies, and entrepreneurs working on generative AI applications. No,” Nader said. “With DataStax, we can fully focus on executing our product vision, roadmap, and community collaboration, expanding our reach to more data sources and databases, models, applications and APIs.”