尚硅谷Java企业级大模型应用项目：小智医疗（LangChain4J实战）

📁 课件
    课件资料.png  [493.5 KB]
    课件.exe  [4.1 MB]
📁 资料
    资料说明.zip  [1.8 MB]
    资料.exe  [2.2 GB]
📁 视频
    视频文档.zip  [1.8 MB]
    47-项目实战-创建和配置Tools.mp4  [140.6 MB]
    35-Prompt-用户提示词.mp4  [95.6 MB]
    03-LangChain4j入门-应用程序整合大语言模型的常见场景.mp4  [65.7 MB]
    61-embedding-Pinecone的使用.mp4  [148.3 MB]
    65-项目实战-流式输出.mp4  [125.0 MB]
    25-Chat memory-替换聊天记忆的实现.mp4  [104.4 MB]
    64-项目实战-在硅谷小智中集成向量大模型和Pinecone向量存储.mp4  [88.3 MB]
    .mp4  [110.0 MB]
    50-RAG-向量和维度.mp4  [73.3 MB]
    62-embedding-向Pinecone中存入数据.mp4  [86.8 MB]
    40-项目实战-测试硅谷小智聊天助手.mp4  [164.0 MB]
    59-项目实战-在硅谷小智中实现RAG.mp4  [224.1 MB]
    11-接入其他大模型-ollama.mp4  [180.9 MB]
    20-Chat memory-聊天记忆的简单实现.mp4  [129.3 MB]
    43-Function .mp4  [60.8 MB]
    33-Prompt-在提示词中添加当前日期.mp4  [15.1 MB]
    52-RAG-索引阶段和检索阶段.mp4  [94.0 MB]
    37-Prompt-多个参数的情况.mp4  [70.5 MB]
    09-接入其他大模型-运行时无法获取apiKey的原因.mp4  [8.7 MB]
    48-项目实战-测试硅谷小智的预约功能.mp4  [145.4 MB]
    42-Function Calling-工具的定义和使用.mp4  [111.6 MB]
    32-Prompt-系统提示词.mp4  [243.2 MB]
    .mp4  [39.1 MB]
    44-Function .mp4  [39.2 MB]
    46-项目实战-测试业务方法.mp4  [67.7 MB]
    29-Persistence-SpringBoot整合MongoDB.mp4  [441.5 MB]
    66-项目实战-运行前端工程.mp4  [44.1 MB]
    57-自定义文档分割器.mp4  [37.6 MB]
    15-接入其他大模型-阿里百炼deepseek.mp4  [68.8 MB]
    06-LangChain4j入门-使用Spring Boot Starters.mp4  [255.0 MB]
    19-AIService-工作原理.mp4  [100.8 MB]
    45-项目实战-实现预约相关业务逻辑.mp4  [155.7 MB]
    04-LangChain4j入门-创建SpringBoot应用程序.mp4  [117.0 MB]
    22-Chat memory-使用AIService实现聊天记忆.mp4  [125.5 MB]
    21-Chat memory-使用ChatMemory实现聊天记忆.mp4  [114.2 MB]
    08-接入其他大模型-DeepSeek.mp4  [269.1 MB]
    10-接入其他大模型-ollama本地部署.mp4  [92.5 MB]
    51-RAG-相似度和相似度测量.mp4  [34.9 MB]
    55-RAG-文档分割器.mp4  [94.5 MB]
    27-Persistence-MongoDB简介.mp4  [47.0 MB]
    23-Chat memory-隔离聊天记忆.mp4  [146.1 MB]
    63-embedding-相似度匹配.mp4  [76.8 MB]
    13-接入其他大模型-阿里百炼通义千问.mp4  [199.0 MB]
    39-项目实战-创建硅谷小智聊天助手.mp4  [263.5 MB]
    14-接入其他大模型-阿里百炼通义万象.mp4  [109.3 MB]
    56-向量转换和向量存储.mp4  [300.5 MB]
    28-Persistence-MongoDB的安装和基本操作.mp4  [236.9 MB]
    07-接入其他大模型-都有哪些大模型可进行接入.mp4  [65.8 MB]
    38-Prompt-@SystemMessage和@V.mp4  [99.0 MB]
    05-LangChain4j入门-接入大模型.mp4  [145.5 MB]
    58-token和token计算.mp4  [150.8 MB]
    34-Prompt-从资源中加载提示模板.mp4  [46.4 MB]
    26-Persistence-存储介质的选择.mp4  [100.9 MB]
    54-RAG-文档解析器.mp4  [60.9 MB]
    41-Function Calling-测试大语言模型的缺陷.mp4  [60.0 MB]
    53-RAG-文档加载器.mp4  [257.1 MB]
    12-接入其他大模型-阿里百炼介绍.mp4  [41.6 MB]
    02-LangChain4j入门-简介.mp4  [61.9 MB]
    16-AIService-概念.mp4  [37.5 MB]
    30-Persistence-实现.mp4  [218.1 MB]
    31-Persistence-测试.mp4  [117.6 MB]
    49-RAG-RAG和微调大模型.mp4  [169.7 MB]
    60-embedding-引入通用文本向量模型.mp4  [71.3 MB]
    01-教程简介.mp4  [42.5 MB]
    24-Chat memory-实现原理.mp4  [173.1 MB]
    17-AIService-创建AIService.mp4  [103.3 MB]