Get the latest tech news
Exclusive: VectorShift raises $3M to modularize LLM application development
VectorShift provides enterprises with an end-to-end AI platform, where users can simply drag and drop components to build, deploy and maintain production-grade LLM workflows, search engines, assistants and automations.
Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 Ventures, Defy.vc, Formus Capital and Y Combinator. VectorShift provides enterprises with an end-to-end AI platform, where users can simply drag and drop components to build, deploy and maintain production-grade LLM workflows, search engines, assistants and automations. According to VectorShift, the no-code approach it uses to bring together data, tools and LLMs can help with a range of applications, including enhancing internal products with AI-based search, which can allow teams to retrieve information from document apps like Notion through natural language queries.
Or read this on Venture Beat