DataStax said it will acquire Logspace, which is the company behind Langflow, an open-source framework for retrieval-augmented generation (RAG) applications. Logspace's Langflow team will continue to run independently with a focus on development and community.
Langflow features visual tools to iterate on data flows and build LangChain RAG applications and deploy them in a click.
With the move, DataStax aims to create an integrated generative AI stack to create applications. DataStax will integrate Langflow with its DataStax Astra DB and Python libraries.
Constellation Research analyst Andy Thurai noted that DataStax needed to upgrade its platform for building RAG-based applications. "DataStax had its own version of software to build RAG-enabled applications called RAGStack, which combined LangChain, LLaMaIndex, and more," said Thurai. "RAGSTack was as the best open-source option for implementing RAG, but it was difficult to use."
Thurai added Langflow will give DataStax the ability to create conversation flows with large language models, chatbots and virtual agents without extensive coding.
Doug Henschen, analyst at Constellation Research, said DataStax's purchase of Logspace keeps pace with where the industry is going. He said:
"For DataStax, this acquisition clearly improves DataStax’s ability to support RAG. Other DB services, like MongoDB and DataStax competitor Azure Cosmos DB, have also added support for vector embedding, vector search and RAG, but it’s early days for everybody. Another competitor adding vector embedding capabilities is Amazon with DynamoDB, so they’re clearly heading in the same direction. It takes time to add such capabilities and gain adoption, so the LangFlow acquisition is all about acceleration while AI interest is peaking."