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DataStax acquires the startup behind low-code AI builder Langflow | TechCrunch

DataStax made its name marketing the open source Apache Cassandra NoSQL database, but these days the company is focused squarely on using its databases to create a “single GenAI stack.” Last summer, one of the first building blocks of this project was to bring vector search capabilities to its Astra DB hosted service. Since then, it has further developed its stack to create GenAI applications backed by Retrieval-Augmented Generation (RAG) and today the company announced the next step in this direction by announcing that it has acquired Logspace, the company behind Langflow, a low-code tool for creating RAG-based applications.

DataStax did not share the price of the acquisition.

Logspace launched in 2022 with a mission to help businesses adopt machine learning. At first, 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, working with co-founder and CTO Gabriel Luiz Freitas Almeida. They self-funded the company and by 2023, the founding team had launched Langflow, which quickly gained traction as the first low-code/no-code open source tool for building GenAI applications.

Image credits: Logging space/DataStax

“This acquisition will provide existing Langflow and DataStax developers with additional resources and integrations to elevate their applications to the height of their ambitions,” said Chet Kapoor, CEO and President of DataStax. “Langflow is focused on democratizing and accelerating the development of generative AI for any developer or enterprise, and by joining DataStax, we are working together to enable developers to put their crazy new generative AI ideas on a fast track towards production.”

The DataStax team says this acquisition effectively complements its efforts to create a unique generative AI stack. After all, it can now offer its users a unique tool combining built-in connections to DataStax’s own Astra database and tools such as the LangChain Toolkit and LlamaIndex to connect different data sources, with an easy visual editor to use to create GenAI chatbots. 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 to join the DataStax team and strengthen our ability to grow the Langflow platform, making it available to more researchers, developers, businesses and of entrepreneurs working on generative AI applications,” Nader said. “With DataStax, we will fully focus on executing our product vision, roadmap and community collaboration, and continue to expand as many integrations across different projects and products in the DataStax ecosystem as possible. AI, including more data sources and databases, models, applications and APIs.

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