t0mkaka's picture
Updating readme
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---
title: "RizzConn Answering Machine"
emoji: "🥲"
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 4.36.1
app_file: app.py
pinned: false
---
I attended THE LLM conference and while this repo is just a way to implement the ideas presented in the conference.
I made a QA system which takes the text from the transcripts and returns a coherent answer in a markdown format.
The RAG uses embdedding + full text search + reranking to get relevant results.
Each query is recorded for analysis purpose in the sqlite db. Need to implement a analysis ui.
A lot of work needs to be done based on the conference but it's a start. Some screenshots.
![Screenshot 2024-06-13 at 3 47 27 PM](https://github.com/avs20/Rizzconn-Answering-Machine/assets/9055117/07b1ca32-f004-4ea1-b5d5-d75af701842b)
![Screenshot 2024-06-13 at 3 49 30 PM](https://github.com/avs20/Rizzconn-Answering-Machine/assets/9055117/5b434f75-08ed-41be-a11b-189aaa070b2e)
![Screenshot 2024-06-13 at 3 50 33 PM](https://github.com/avs20/Rizzconn-Answering-Machine/assets/9055117/0d9da8fe-d065-472c-9085-84ba25e751f5)
![Screenshot 2024-06-13 at 3 52 54 PM](https://github.com/avs20/Rizzconn-Answering-Machine/assets/9055117/2ef9ab27-ac6d-4e28-9e73-e75bfbe40ba0)