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...
Tagged: LLMs
On Retrieval Augmented Generation. Q&A with Neil Kanungo
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...
WEBINAR: Designing Retrieval Augmentation for Generative Pipelines with Haystack. Aug 10, 2023 09:00 AM Pacific, 12:00 PM Eastern
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...
AI: The tool to enhance society – from data analytics to consumer applications
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...
On Vector Search and Generative AI. Q&A with Arvind Jain
“ 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...