

Generation AI Podcast Episode #6 Ram Sriharsha
Jan 22, 2024
Ram Sriharsha, VP of Engineering at Pinecone, discusses vector databases and LLMs, including Hybrid Search and both sparse and dense retrieval. He introduces the concept of retrieval augmented generation (RAG) to enhance language models with knowledge from vector databases. The podcast explores the importance of search relevancy in AI chatbot development and the impact of longer sequence windows in language models. Challenges of cloud native platforms and the future possibilities of machine learning models are also discussed.
Chapters
Transcript
Episode notes
1 2 3 4 5
Introduction
00:00 • 3min
The Emergence of Dense and Hybrid Retrieval Techniques
02:33 • 6min
Importance of Search Relevancy and Retrieval Augmented Generation (RAG)
08:54 • 10min
The Impact of Longer Sequence Windows and the Future of GNAI Applications
18:27 • 4min
Challenges of Cloud Native Platforms and the Future of LLMs
22:11 • 5min