Author: Google for Developers - Bewertung: 22x - Views:234
Explore the synergy between long context models and Retrieval Augmented Generation (RAG) in this episode of Release Notes. Join Google DeepMind's Nikolay Savinov with host Logan Kilpatrick as they discusses the importance of large context windows, how they enable Al agents, and what's next in the field.
Listen to this podcast:
Apple Podcasts → https://goo.gle/3Bm7QzQ
Spotify → https://goo.gle/3ZL3ADl
Chapters:
0:51 - Introduction: Meet Nikolay Savinov
1:12 - What is a Token & Why Does it Matter?
5:31 - Understanding Context Windows & Memory Types
10:01 - RAG vs Long Context: Trade-offs and Synergy
15:52 - Scaling Long Context: Cost, Quality & Future Limits
28:40 - Evaluating Long Context: Beyond Needle-in-a-Haystack
35:01 - How Reasoning & Long Outputs Interconnect
41:02 - Developer Best Practices (Caching, Prompting)
49:26 - The Future: Near-Perfect Recall, 10M+ Tokens & Coding
56:14 - Agents as Consumers & Suppliers of Context
Subscribe to Google for Developers → https://goo.gle/developers
Speaker: Nikolay Savinov
Products Mentioned: Google AI,

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