<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on Neat Guy Coding</title><link>https://neatguycoding.com/zh-cn/tags/agent/</link><description>Recent content in Agent on Neat Guy Coding</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 NeatGuyCoding</copyright><lastBuildDate>Mon, 18 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://neatguycoding.com/zh-cn/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent 监督栈：从静态评测到轨迹级可观测性</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-patronus-ai-with-anand-kannappan-weaviate-podcast-122/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-patronus-ai-with-anand-kannappan-weaviate-podcast-122/</guid><description>Agent 监督栈：从静态评测到轨迹级可观测性</description><media:content 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Agent：当「会写代码的模型」撞上真实数据栈</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-data-agents-with-shreya-shankar-weaviate-podcast-135/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-data-agents-with-shreya-shankar-weaviate-podcast-135/</guid><description>Data Agent：当「会写代码的模型」撞上真实数据栈</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-data-agents-with-shreya-shankar-weaviate-podcast-135/cover.png"/></item><item><title>半结构化检索上的 Agent：STaRK 基准与 AvaTaR 优化</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/</guid><description>半结构化检索上的 Agent：STaRK 基准与 AvaTaR 优化</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/cover.png"/></item><item><title>从 RAG 到 Search Agent：检索、合成数据与评测的三条张力</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-search-agents-with-nandan-thakur-weaviate-podcast-137/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-search-agents-with-nandan-thakur-weaviate-podcast-137/</guid><description>从 RAG 到 Search Agent：检索、合成数据与评测的三条张力</description><media:content xmlns:media="http://search.yahoo.com/mrss/" 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00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-synthetic-data-with-david-berenstein-and-ben-burtenshaw-weaviate-podcast/</guid><description>合成数据：RAG、Agent 与评测里的「造数」边界</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-synthetic-data-with-david-berenstein-and-ben-burtenshaw-weaviate-podcast/cover.png"/></item><item><title>金融研究语料上的企业 RAG：向量库、Agent 与 eval 的工程取舍</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-morningstar-intelligence-engine-with-aravind-kesiraju-weaviate-podcast-1/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-morningstar-intelligence-engine-with-aravind-kesiraju-weaviate-podcast-1/</guid><description>金融研究语料上的企业 RAG：向量库、Agent 与 eval 的工程取舍</description><media:content xmlns:media="http://search.yahoo.com/mrss/" 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Agent：从拼接管线到可优化的整机</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-contextual-ai-with-amanpreet-singh-weaviate-podcast-114/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-contextual-ai-with-amanpreet-singh-weaviate-podcast-114/</guid><description>企业级 RAG 与 Agent：从拼接管线到可优化的整机</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-contextual-ai-with-amanpreet-singh-weaviate-podcast-114/cover.png"/></item><item><title>向量库上的 Query Agent：可审计检索与两种「问数据」模式</title><link>https://neatguycoding.com/zh-cn/posts/2026-05-18-weaviate-podcast-weaviate-s-query-agent-with-charles-pierse-weaviate-podcast-128/</link><pubDate>Mon, 18 May 2026 00:00:00 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