AssemblyAI is now integrated with Langflow, a powerful low-code platform for building generative AI applications.
Langflow is a visual framework for building multi-agent and RAG (Retrieval-Augmented Generation) applications. It is open-source, Python-powered, fully customizable, and LLM and vector store agnostic. It allows for easy manipulation of AI building blocks, enabling developers to quickly prototype and turn their ideas into real-world solutions.
With the AssemblyAI integration, users can now seamlessly incorporate AssemblyAI’s speech-to-text and speech understanding capabilities into their Langflow projects.
Here is an example project in Langflow that uses the AssemblyAI components to transcribe audio files, identify speakers, format the returned transcript, export subtitles, and run LLM prompts with our LeMUR framework.
Check out the full documentation on how to use AssemblyAI in Langflow here. You’ll find a breakdown of all available components and their customizable parameters.
To get started quickly, we also provided a starter flow that you can simply import, together with step-by-step instructions to run the flow.
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