<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LlamaIndex on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/llamaindex/</link><description>Recent content in LlamaIndex on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 11:31:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/llamaindex/index.xml" rel="self" type="application/rss+xml"/><item><title>LlamaIndex 2026指南：数据驱动的LLM应用</title><link>https://guijiagi.com/posts/llamaindex-2026-guide/</link><pubDate>Thu, 02 Jul 2026 11:31:00 +0800</pubDate><guid>https://guijiagi.com/posts/llamaindex-2026-guide/</guid><description>2026年LlamaIndex框架使用指南，构建数据驱动的LLM应用</description></item><item><title>LlamaIndex 2026：从RAG框架到Agent平台的转型</title><link>https://guijiagi.com/posts/llamaindex-2026-rag-to-agent-platform/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/llamaindex-2026-rag-to-agent-platform/</guid><description>解析LlamaIndex 2026如何从RAG框架演进为Agent平台，涵盖AgentWorkflow、数据代理、多模态RAG等核心特性</description></item><item><title>LlamaIndex 2026：从 RAG 框架到 Agent 平台</title><link>https://guijiagi.com/posts/llamaindex-2026-agent-platform/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llamaindex-2026-agent-platform/</guid><description>探索 LlamaIndex 2026 如何从一个 RAG 框架进化为完整的 Agent 平台，涵盖 Workflows、Tool Abstraction 与 Data Agents</description></item><item><title>LangChain vs LlamaIndex 2026对比</title><link>https://guijiagi.com/posts/langchain-vs-llamaindex-2026/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-vs-llamaindex-2026/</guid><description>LangChain vs LlamaIndex 2026对比</description></item><item><title>LlamaIndex发展现状与规划</title><link>https://guijiagi.com/posts/llamaindex-development/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llamaindex-development/</guid><description>LlamaIndex发展现状与规划</description></item><item><title>LangChain vs LlamaIndex vs CrewAI：AI 框架三巨头对比</title><link>https://guijiagi.com/posts/langchain-vs-llamaindex-vs-crewai/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-vs-llamaindex-vs-crewai/</guid><description>深度对比 LangChain、LlamaIndex 和 CrewAI 三大 AI 开发框架的架构设计、核心能力、性能表现与适用场景，帮助开发者做出正确选型。</description></item><item><title>LlamaIndex Agent 评测：从 RAG 到 Agent 的进化</title><link>https://guijiagi.com/posts/llama-index-agent-review/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llama-index-agent-review/</guid><description>LlamaIndex 不只是 RAG 框架。Data Agent、Agent Worker、Agent Runner 如何将检索增强生成进化为智能体？RAG+Agent 融合有哪些实战模式？</description></item><item><title>LlamaIndex 框架评测：RAG 领域的瑞士军刀</title><link>https://guijiagi.com/posts/llama-index-review/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llama-index-review/</guid><description>深度评测 LlamaIndex 框架，涵盖核心架构、索引类型、查询引擎、Agent 模式及与 LangChain 的对比</description></item></channel></rss>