Prompt Caching will not kill RAG скачать в хорошем качестве

Prompt Caching will not kill RAG

In this video, we'll look at Prompt Caching vs RAG. Join my AI Newsletter: https://explainx.substack.com/ 💪Always ahead in AI GenAI Course: https://www.genaicourses.com/ Discord:   / discord   Twitter:   / goyashy   Subscribe: https://bit.ly/3NayPyC Instagram:   / goyashy.ai   In this video, I discuss Claude's newly announced prompt caching feature and its relationship to Retrieval-Augmented Generation (RAG). I want to emphasize that prompt caching won't replace RAG, but rather enhance it. I explain the current RAG architecture, where a client's request is sent to a vector database, combined with the user's question, and then processed by an LLM. While prompt caching addresses repetitive content sent to the model, it doesn't solve RAG's primary functions of providing up-to-date data and avoiding hallucinations. I stress that RAG's ability to fetch real-time data remains a crucial advantage, especially for enterprise-level use cases where information is frequently updated. I outline several use cases where prompt caching can be beneficial, including building conversational agents, coding assistance, long document processing, and interacting with static content like books or documentation. I present performance improvements achieved with prompt caching, such as reducing latency from 11.5 seconds to 2.4 seconds for a large cached prompt. However, I caution that prompt caching is best suited for scenarios with static data that doesn't change frequently. To illustrate potential issues with caching, I use an example of a leaderboard that doesn't reflect recent changes due to server-side caching, highlighting the importance of up-to-date data in certain applications. Rather than viewing prompt caching as a replacement for RAG, I suggest integrating it into existing RAG architectures. This approach could involve using cached prompts when appropriate, while still allowing for database checks and cache refreshes when data has been updated. I discuss the pricing structure for prompt caching and note that while it may be suitable for small-scale use cases, enterprise-level applications with frequently changing data might still benefit more from traditional RAG implementations. I conclude by mentioning that companies like Notion are already using this technology for static document interactions, and suggest that combining prompt caching with RAG could offer the best of both worlds: improved speed and performance while maintaining the ability to access fresh, up-to-date information when needed. #claude #rag #promptengineering #promptcaching 🐱‍🏍About Me Experience the Power of Generative AI, Startups, and No-Code Tools. Our goal is to equip you with the tools and knowledge you need to thrive in your industry and become a confident, competent product manager. With our cutting-edge platform, you'll have access to the latest in generative AI technology, insights from top startups, and the best no-code tools. Whether you're just starting out or looking to take your skills to the next level, we have everything you need to succeed. Subscribe now!