尚硅谷周洋 - Spring AI 阿里巴巴零基础速成实战指南：AI应用+Java全栈

📁 课件代码
    课件代码必看.zip  [1.8 MB]
    SpringAIAlibaba-atguiguV1.exe  [714.5 KB]
    MindManager2020破解版Win系统.zip  [510.7 MB]
    Spring AI Alibaba速通实战2025V1.3.mmap  [16.2 MB]
55_向量化之能干嘛.mp4  [8.9 MB]
51_向量化之是什么.mp4  [14.7 MB]
32_提示词之四大角色编码03.mp4  [33.5 MB]
50_语音合成CosyVoice之编码案例.mp4  [61.1 MB]
47_ChatMemory之答疑和小总结.mp4  [32.0 MB]
37_提示词模板之角色设定和边界划分.mp4  [53.6 MB]
48_通义万相-文生图.mp4  [62.0 MB]
38_格式化输出之是什么和记录类.mp4  [33.9 MB]
78_MCP之百度地图mcp测试效果.mp4  [48.7 MB]
27_提示词之是什么.mp4  [53.2 MB]
85_SAA生态篇之工作流配置.mp4  [57.3 MB]
54_向量化之向量数据库.mp4  [66.4 MB]
26_SSE之前后端编码联调.mp4  [66.2 MB]
65_ToolCalling之是什么.mp4  [30.1 MB]
70_MCP之为什么出现.mp4  [60.4 MB]
35_提示词模板之基础api.mp4  [36.0 MB]
63_RAG之ai智能运维-中集.mp4  [112.6 MB]
16_Ollama之微服务调用ollama本地模型.mp4  [76.1 MB]
36_提示词模板之读取配置文件构成模板.mp4  [31.4 MB]
21_SSE之流式输出是什么.mp4  [19.4 MB]
52_向量化之文本向量化.mp4  [25.4 MB]
76_MCP之百度地图mcp申请密钥.mp4  [62.1 MB]
14_Ollama之本地安装.mp4  [61.9 MB]
62_RAG之ai智能运维-上集.mp4  [26.2 MB]
17_对话模型之ChatClient新对象.mp4  [55.0 MB]
80_求职闲聊扯淡和生态篇开启.mp4  [71.4 MB]
13_Ollama之入门理论.mp4  [35.0 MB]
22_SSE之SSE理念和面试题讲解.mp4  [34.4 MB]
28_提示词之api代码演变.mp4  [35.5 MB]
07_入门案例之调用三件套申请.mp4  [46.5 MB]
01_教程简介.mp4  [16.6 MB]
60_RAG之是什么.mp4  [21.9 MB]
72_MCP之CS架构.mp4  [28.4 MB]
34_提示词模板之理论简介.mp4  [32.6 MB]
77_MCP之百度地图mcp开发配置.mp4  [55.6 MB]
11_入门案例之编码实现-下集.mp4  [69.9 MB]
20_对话模型之ChatClient自动注入.mp4  [48.1 MB]
03_SAA是什么.mp4  [51.7 MB]
57_向量化之编码-中集.mp4  [47.8 MB]
81_SAA生态篇之云上RAG(AI智能运维)-上集.mp4  [40.2 MB]
23_SSE之ChatModel实现流式输出且多模型共存.mp4  [73.4 MB]
61_RAG之索引和检索.mp4  [19.8 MB]
31_提示词之四大角色编码02.mp4  [39.3 MB]
29_提示词之四大角色.mp4  [37.2 MB]
19_对话模型之构造注入ChatClient.Builder.mp4  [74.5 MB]
12_入门案例之编码实现-扩展.mp4  [104.2 MB]
71_MCP之理论知识和应用理念.mp4  [63.5 MB]
67_ToolCalling之不用ToolCalling案例.mp4  [16.8 MB]
86_SAA生态篇之本地调用Agent.mp4  [70.2 MB]
41_ChatMemory之是什么.mp4  [17.5 MB]
02_SAA为什么会出现.mp4  [17.2 MB]
43_ChatMemory之持久化需求分析.mp4  [27.7 MB]
25_SSE之前端知识介绍.mp4  [42.4 MB]
56_向量化之编码-上集.mp4  [41.3 MB]
68_ToolCalling之使用ToolCalling案例-上集.mp4  [43.9 MB]
15_Ollama之下载模型命令mp4.mp4  [41.7 MB]
45_ChatMemory之编码开发-中集.mp4  [59.5 MB]
10_入门案例之编码实现-中集.mp4  [44.5 MB]
42_ChatMemory之持久化和对话窗口上限.mp4  [15.5 MB]
09_入门案例之编码实现-上集.mp4  [56.2 MB]
46_ChatMemory之编码开发-下集.mp4  [70.5 MB]
06_入门案例之前置约定.mp4  [21.9 MB]
66_ToolCalling之工作流程.mp4  [21.4 MB]
04_SAA能干嘛去哪下.mp4  [23.7 MB]
75_MCP之本地Client客户端实现.mp4  [82.0 MB]
39_格式化输出之记录类补充资料.mp4  [13.3 MB]
59_RAG之Ai智能运维需求.mp4  [20.3 MB]
74_MCP之本地Server服务端实现.mp4  [52.9 MB]
24_SSE之ChatClient实现流式输出且多模型共存.mp4  [54.8 MB]
84_SAA生态篇之今天吃什么.mp4  [27.3 MB]
73_MCP之各个概念梳理总结.mp4  [49.7 MB]
40_格式化输出之编码落地测试.mp4  [89.5 MB]
64_RAG之ai智能运维-下集.mp4  [120.4 MB]
30_提示词之四大角色编码01.mp4  [25.9 MB]
82_SAA生态篇之云上RAG(AI智能运维)-中集.mp4  [44.1 MB]
83_SAA生态篇之云上RAG(AI智能运维)-下集.mp4  [39.2 MB]
79_MCP之原理源码浅谈.mp4  [95.1 MB]
49_语音合成CosyVoice之理论入门.mp4  [66.6 MB]
69_ToolCalling之使用ToolCalling案例-下集.mp4  [25.9 MB]
44_ChatMemory之编码开发-上集.mp4  [21.9 MB]
05_框架维度对比和选择.mp4  [25.2 MB]
18_对话模型之ChatClient无法自动注入.mp4  [26.1 MB]
53_向量化之向量维度比较说明.mp4  [49.2 MB]
58_向量化之编码-下集.mp4  [102.3 MB]
33_提示词之四大角色编码04.mp4  [44.6 MB]
08_入门案例之总体父工程搭建.mp4  [39.3 MB]