DataStax made a reputation for itself by commercializing the open supply Apache Cassandra NoSQL database, however lately, the corporate’s focus is squarely on utilizing its database chops to construct a “one-stop GenAI stack.” One of many first 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 functions backed by Retrieval-Augmented Era (RAG) and as we speak, the corporate introduced the following cease on this path by saying that it has acquired Logspace, the corporate behind Langflow, a low-code device for constructing RAG-based functions.

DataStax didn’t share the value 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 crew had launched Langflow, which shortly gained some traction as an early open supply low-code/no-code device for creating GenAI apps.

Picture Credit: Logspace/DataStax

“This acquisition will present present Langflow builders and present DataStax builders extra sources and integrations to raise their functions to match the dimensions of their ambitions,” mentioned Chet Kapoor, CEO and chairman of DataStax. “Langflow is concentrated on democratizing and accelerating generative AI improvement for any developer or firm, and in becoming a member of DataStax, we’re working collectively to allow builders to place their wild new generative AI concepts on a quick path to manufacturing.”

The DataStax crew argues that this acquisition successfully completes its effort to construct a one-stop generative AI stack. In spite of everything, it could actually now provide its customers a single device 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 inner and exterior use.

Langflow will proceed to function as a separate entity, so current customers shouldn’t discover any instant adjustments.

“We couldn’t be extra enthusiastic about becoming a member of the DataStax crew and supercharging our potential to develop the Langflow platform, bringing it to extra researchers, builders, enterprises and entrepreneurs engaged on generative AI functions,” mentioned Nader. “With DataStax, we shall be absolutely targeted on the execution of our product imaginative and prescient, roadmap and neighborhood collaboration, and can proceed so as to add to the best breadth of integrations throughout completely different AI ecosystem tasks and merchandise — together with extra information sources and databases, fashions, functions and APIs.”