DataStax made a reputation for itself by commercializing the open supply Apache Cassandra NoSQL database, however today, the corporate’s focus is squarely on utilizing its database chops to construct a “one-stop GenAI stack.” One of the primary constructing blocks for this was to deliver vector search capabilities to its hosted Astra DB service final summer season. Since then, it’s constructed out extra of its stack for constructing GenAI purposes backed by Retrieval-Augmented Generation (RAG) and immediately, the corporate introduced the following cease on this course by saying that it has acquired Logspace, the corporate behind Langflow, a low-code instrument for constructing RAG-based purposes.
DataStax didn’t share the worth of the acquisition.
Logspace launched in 2022 with a mission to assist companies undertake machine studying. Early on, the corporate was extra of a consultancy than a product firm. Logspace co-founder and CEO Rodrigo Nader beforehand labored on machine studying issues at enterprise AI firm Bitvore, along with co-founder and CTO Gabriel Luiz Freitas Almeida. They self-funded the corporate and by 2023, the founding workforce had launched Langflow, which shortly gained some traction as an early open supply low-code/no-code instrument for creating GenAI apps.
Image Credits: Logspace/DataStax
“This acquisition will provide current Langflow developers and current DataStax developers additional resources and integrations to elevate their applications to match the scale of their ambitions,” stated Chet Kapoor, CEO and chairman of DataStax. “Langflow is focused on democratizing and accelerating generative AI development for any developer or company, and in joining DataStax, we’re working together to enable developers to put their wild new generative AI ideas on a fast path to production.”
The DataStax workforce argues that this acquisition successfully completes its effort to construct a one-stop generative AI stack. After all, it will probably now supply its customers a single instrument that mixes built-in connections to DataStax’s personal Astra DB and instruments just like the LangChain toolkit and LlamaIndex for connecting completely different information sources, with an easy-to-use visible editor for constructing GenAI chatbots for inside and exterior use.
Langflow will proceed to function as a separate entity, so present customers shouldn’t discover any rapid adjustments.
“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,” stated Nader. “With DataStax, we will be fully focused on the execution of our product vision, roadmap and community collaboration, and will continue to add to the greatest breadth of integrations across different AI ecosystem projects and products — including more data sources and databases, models, applications and APIs.”
