*Kairntech Product Webinar, Thursday April 4, 15:00 CET*
*New Release: Question-answering (RAG)*
Retrieval-Augmented Generation (RAG) has emerged as one of the most popular architecture in systems based on Large Language Models (LLMs).
Optimizing the overall RAG process is complex. The big challenge is to make information retrieval and GenAI more accurate and trustworthy.
RAG customization is therefore crucial when it comes to deploying RAG projects to business stakeholders.
Do you want to discover some cool advanced RAG customization techniques?
Register <kairntech.lt.acemlnb.com/Prod/link-tracker?redirectUrl=aHR0cHMlM0ElMkYlMkZ1czAyd2ViLnpvb20udXMlMkZ3ZWJpbmFyJTJGcmVnaXN0ZXIlMkZXTl96YW9sbUY4TlFCNmZlZDk3bzNsS0J3&sig=2wRcuzg7LtqQZidStAiibdzNgpSUJ9J7t…>
//////In this Webinar, we will answer the following questions using real-life case studies. * * *👉* How to make metadata available on the segment (chunk) level using patent use case as an example?
👉 How to combine LLMs with other approaches such as entity extraction to improve the quality of results using the Enron papers (audit/forensic) use case?
*👉*How to enable *Data Analysts *and *AI teams* to experiment with different configurations and the resulting quality, in order to quickly build and deploy customized RAG projects for business entities?
The webinar will be held in English and will last around**30mn, leaving some time to address individual questions afterwards.
Looking forward to seeing you there.
Best regards,
The Kairntech Team www.kairntech.com <kairntech.lt.acemlnb.com/Prod/link-tracker?redirectUrl=aHR0cCUzQSUyRiUyRnd3dy5rYWlybnRlY2guY29t&sig=DCWtdkDWxikJPddyNGPVnXWwU3vZP8xWFkfA9Z63jT5M&iat=1711619885&a=%7C%7C650475705%7C%7C&account=kairn…>
Kairntech Product Webinar: Question-answering (RAG)
New release: Discover RAG techniques to improve question-answering scenario