April 2026
Intermediate
292 pages
3h 58m
Chinese
Overview
本作品已使用人工智能进行翻译。欢迎您提供反馈和意见：translation-feedback@oreilly.com
人工智能革命已经到来，其核心是一项改变游戏规则的技术，但大多数开发人员尚未充分探索这项技术：向量数据库。从支持语义搜索到启用大型语言模型（LLMs）和生成式人工智能，向量数据库正在重塑我们如何利用文本、图像和音频等非结构化数据构建应用程序。但是，如何才能对这项重要技术从好奇到得心应手呢？这就是本书的作用所在。
在这本实践指南中，作者 Nitin Borwankar 将带你了解向量数据库的 "原因、内容和方法"，从向量嵌入背后的基本理论开始，逐步深入到使用实际工具构建应用程序。您将了解到 Word2vec，如何将 SQLite3 和 PostgreSQL 等开源 SQL 数据库转换为向量数据库，并将它们集成到检索增强生成 (RAG) 应用程序中。无论您是 Python 开发人员、数据工程师还是 ML 从业人员，本书都能为您打下基础，让您在人工智能项目中自信地利用向量数据库。
- 了解向量数据库、嵌入和 LLM 之间的联系
- 学习将 SQL 数据库转化为向量数据库的实用方法
- 为个人和企业构建 RAG 应用程序
- 应用向量数据库解决现实世界中的人工智能难题
- 学习如何使用向量数据库与 LLMs 一起构建应用程序
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