Announcing the AssemblyAI integration for LlamaIndex.TS

LlamaIndex is a data framework that enables connecting custom data sources to Large Language Models (LLMs). It allows for storage, indexing, and use of data with LLMs in application development. However, since LLMs work only with textual data, audio files need to be transcribed first using tools like AssemblyAI's speech-to-text feature. There is an integration for LlamaIndex Python through LlamaHub which makes it easier to start using the feature. A sample LlamaIndex.TS application can be found that answers questions about an audio file, transcribing the file and using OpenAI for responses. Check out more details in AssemblyAI's LlamaIndex.TS integration docs or learn how to build a Q&A application for audio files. Additionally, AssemblyAI offers LeMUR (Leveraging Large Language Models to Understand Recognized Speech), which can perform tasks over large amounts of long audio files using an LLM and its API.

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