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🤝 Multi-Meeting Q&A RAG 🤝

What is this ?

This app is a demo meeting Q&A application that retrieves multiple vtt meeting transcripts as context using retrieval augmented generation and answers questions to analyze these meetings using the latest Llama3.1 model.

Why is this important?

The value of the underlying technology is its ability to retrieve necessary context and analysis from multiple documents to draw answers from within minutes!

Think uploading hundreds of documents and then chaining the LLMs to automatically attack multiple structured questions in delivering a tailored report.

How to use?

There are 2 ways to start!

1. Quickstart: ⏭️ Just skip over to the Q&A Tab and ask a question to immediately query the existing meeting demo database.

2. Upload your own docs:

   1. 🪙 On the next page, Start by generating a unique token
   2. 📁 upload several vtt files from a meeting transcript from a service like Microsoft Teams or Zoom
   3. ⤮ Wait for your file to be stored in the vector database.
   4. ❓ Query across the meetings you uploaded!

Notes

Unfortunately, The lack of a persistent GPU on Hugginface Zero spaces posed some challenges in using a fine tuned model based on instruction tuned alpaca datasets and a noisy synthetic dataset of over 3000 product, technical, and academic meetings. However, the 3.1 outputs are a massive improvement over the base Llama 3 family of models.

This demo is just a peek and is subject to a demand queue. More to come!