Retrieval Augmented Generation on audio data with LangChain

Retrieval Augmented Generation (RAG) is a technique to increase the relevance and transparency of LLM responses. RAG works by supplying the LLM with documents that are relevant to a query.

In this tutorial, we'll learn how to perform RAG on audio data using LangChain and Python.

APIs:
- AssemblyAI API key: https://www.assemblyai.com/dashboard/signup
- OpenAI API key: https://openai.com/blog/openai-api

Resources:
- Code: https://github.com/AssemblyAI-Examples/rag-langchain-audio-data
- Blog: https://www.assemblyai.com/blog/retrieval-augmented-generation-audio-langchain/
- LangChain webinar series: https://www.youtube.com/@LangChain

Tools used:
- AssemblyAI: https://www.assemblyai.com/
- LangChain: https://www.langchain.com/
- Hugging Face: …

apis audio data documents langchain learn llm python query rag resources responses retrieval retrieval augmented generation tools transparency tutorial