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44:26EN → 简体中文
Sequoia Capital· 2025年2月13日播客AI 应用说到底还是应用MongoDB 的 Sahir Azam 向红杉资本解释,为什么向量搜索是处理非结构化数据的一种新基础构件(primitive),而不是事务的替代品;他还解释了为什么检索质量是让 AI 进入保守型企业的最后一公里。RAG 与知识库Vector search检索增强生成+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月8日播客Three Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbook主持 Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG 与知识库检索增强生成Vector search+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月5日播客Google Gives You 33 Million Results. Exa Wants 54.主持 Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.RAG 与知识库Search & retrieval检索增强生成+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日播客 · 2 人对谈Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%主持 Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.RAG 与知识库检索增强生成Vector search+3
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月2日播客Forty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of ML主持 Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.RAG 与知识库检索增强生成Embeddings+3
51:55EN
Unsupervised Learning: With Jacob Effron播客The Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough主持 Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.基础设施与部署Vector search检索增强生成+3
1:01:13EN
Unsupervised Learning: With Jacob Effron播客Pinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami主持 Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.基础设施与部署Vector search检索增强生成+3