On Vector Databases and Gen AI. Q&A with Frank Liu
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
Operational Database Management Systems
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
Q1. What is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a method that combines the capabilities of generative models, like LLMs, with information retrieval techniques. In a RAG system, when presented with...
About this Session In this talk, Tuana Çelik from Deepset will share examples of retrieval augmentation in Haystack and how you might design your own pipelines for specific NLP use-cases. Let’s see how you...
By Madhukar Kumar Artificial Intelligence (AI) has been the topic of much conversation in recent months, and with good reason. AI is transforming everything we know, from how we write emails, plan trips and...
“ I believe that a sense of clarity and alignment on shared objectives is vital to workplace happiness. People are happier and more fulfilled when they’re able to contribute effectively. That’s why our mission at...