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Shot in the arm for QA teams as DataStax buys Langflow

Chet Kapoor, CEO of DataStax
Chet Kapoor, the CEO of DataStax

The acquisition of open-source visual framework Langflow by real-time AI firm DataStax should make it easier for developers and QA testers to create and integrate more sophisticated artificial intelligence tools and applications, according to Chet Kapoor, CEO and chairman of DataStax.

Kapoor confirmed to QA Financial that his company, which focuses primarily on generative AI stacks, has bought Langflow, a popular, open-source visual framework for building retrieval-augmented generation (RAG) applications.

The acquisition should enable the merged entity to make it easier to allow developers to create advanced GenAI-powered tools, mostly by streamlining the development of RAG applications.

Although financial details of the transaction have not been disclosed, Kapoor, argued the acquisition has the “potential to empower developers and QA teams to realise their ambitions in generative AI.”

He explained that “Langflow is focused on democratising 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.”


“This deal has the potential to empower developers to realise their ambitions in generative AI.”

– Chet Kapoor

Among other things, Langflow’s platform permits developers to move and use components without code.
Moreover, it provides offers a suite of products that help developers build and deploy reliable GenAI apps faster.

Kapoor stressed that developers can use Langflow to design and build RAG applications more efficiently, thereby reducing deployment time from several weeks to just a few hours.

“This accelerated development process should promise better results with fewer errors,” he said.

It is expected that Langflow and RAGStack, a RAG tool created by DataStax, will be integrated. This would mean more capabilities for teams looking to roll out RAG at scale, which in turn new data sources to be linked directly to various AI models with the aim of saving time and resources.

Post-acquisition, Langflow will continue to operate as a separate company and brand, led by current CEO Rodrigo Nader, who will become a DataStax employee.


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