I have spent the last 3 months studying the Weaviate Vector Search Engine. I am a PhD student who has been studying Deep Learning and making videos about emerging ideas. Search really caught by attention when studying Deep Learning applications for COVID-19. I was heavily inspired by the CO-Search system from Salesforce research, as well as parallel work in NLP such as the Text-to-Text Transfer Transformer (T5) and Retrieval-Augmented Generation (RAG). I was delighted when Bob van Luijt contacted me to collaborate and have since learned so much about Deep Learning for Search. This video presents an overview of these ideas. I intend to update this as I continue making podcasts for SeMI Technologies / Weaviate. Please subscribe to SeMI on YouTube to stay up to date with these podcast! Thank you so much for watching!

SeMI YouTube:    / semi-and-weaviate  

CO-Search: https://arxiv.org/abs/2006.09595
Haystack Pipelines: https://haystack.deepset.ai/component...
Retrieval-Augmented Generation:   / retrieval-augmented-generation-streamlinin...  

Chapters
0:00 Introduction
0:38 Please Subscribe!
1:08 Architecture Overview
11:22 CO-Search
14:20 Haystack Pipelines
16:45 Retrieval-Augmented Generation
18:00 CLIP