## 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/