## Summary

Today on the show I am talking to Veronika Vishnevskaia. Solution Architect at ONTEC where she specialises in building RAG based Question-Answering systems.

Veronika will provide a deep dive into all relevant steps to build a Question-Answering system. Starting from data extraction and transformation, followed by text embedding, chunking and hybrid retrieval to strategies and last but not least methods to mitigate hallucinations of LLMs during the answer creation.

## AAIP Community

Join our discord server and ask guest directly or discuss related topics with the community.

https://discord.gg/5Pj446VKNU

## TOC

00:00:00 Beginning

00:03:33 Guest Introduction

00:08:51 Building Q/A Systems for businesses

00:16:27 RAG: Data extraction & pre-processing

00:26:08 RAG: Chunking & Embedding

00:36:13 RAG: Information Retrieval

00:48:59 Hallucinations

01:02:21 Future RAG systems

## Sponsors

- Quantics: Supply Chain Planning for the new normal - the never normal - https://quantics.io/

- Belichberg GmbH: Software that Saves the Planet: The Future of Energy Begins Here - https://belichberg.com/

### References

Veronika Vishnevskaia - https://www.linkedin.com/in/veronika-vishnevskaia/

Ontec - www.ontec.at

Review Hallucination Mitigation Techniques: https://arxiv.org/pdf/2401.01313.pdf

Aleph-Alpha: https://aleph-alpha.com/de/technologie/