What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Advanced RAG with Vector Databases and Retrievers

通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省

Advanced RAG with Vector Databases and Retrievers

本课程是多个项目的一部分。

位教师：Wojciech 'Victor' Fulmyk

10,343 人已注册

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

56 条评论

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

56 条评论

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Build RAG applications using vector databases and advanced retrieval patterns
Employ the core mechanics of Vector Databases such as FAISS and Chroma DB and implement indexing algorithms like HNSW
Implement advanced retrievers using LlamaIndex and LangChain to improve the quality of LLM responses
Develop comprehensive RAG applications by integrating LangChain, FAISS, and front-end user interfaces built using Gradio

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

此课程作为的一部分提供

在注册此课程时，您还需要选择一个特定的合作项目。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

Ready to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases such as FAISS and Chroma DB. You'll gain the cutting-edge skills businesses need to design and build scalable, high-performance RAG applications that drive smarter search and response capabilities.

During the course, you'll learn how to differentiate retrieval patterns, implement similarity search using FAISS, and integrate LangChain with modern UI frameworks such as Gradio. Then, in practical labs and guided projects, you'll get hands-on experience building an end-to-end AI application that retrieves, summarizes, and answers questions in real time. From multi-query and parent document retrievers to semantic vector search and evaluation, this course will give you the skills to improve internal search engines, chatbot accuracy, and content recommendation systems. Enroll today and enhance your portfolio with hands-on experience building AI that understands context—and delivers results.

In this module, you will get a deep dive into advanced retrievers and retrieval patterns, equipping you with the skills to implement and optimize advanced retrieval strategies within a RAG system. Participants will explore various retriever types through video lectures and hands-on labs, including vector store-backed, multi-query, self-querying, and parent document retrievers. Learners will apply these techniques using LangChain and LlamaIndex, gaining practical experience in building smarter search capabilities and enhancing retrieval efficiency in AI-driven applications.

涵盖的内容

5个视频2篇阅读材料3个作业4个应用程序项目1个讨论话题2个插件

5个视频总计26分钟

Course Introduction 4分钟
RAG and Agentic AI Professional Certificate Overview 6分钟
Explore Advanced Retrievers in Langchain: Part 1 3分钟
Explore Advanced Retrievers in Langchain - Part 2 5分钟
Advanced Retrievers in LlamaIndex 9分钟

2篇阅读材料总计8分钟

Course Overview 5分钟
Summary and Highlights: Advanced Retrievers for RAG 3分钟

3个作业总计49分钟

Practice Quiz: Work with Advanced Retrievers in LangChain 14分钟
Practice Quiz: Work with Advanced Retrievers in LlamaIndex 14分钟
Graded Quiz: Advanced Retrievers for RAG 21分钟

4个应用程序项目总计140分钟

Lab: Build a Smarter Search with LangChain Context Retrieval 60分钟
[Optional] Interactive LangChain Lesson Recap Podcast (AI-Powered) 10分钟
Lab: Explore Advanced Retrievers in LlamaIndex 60分钟
[Optional] Interactive LlamaIndex Lesson Recap Podcast (AI-Powered) 10分钟

1个讨论话题总计2分钟

[Optional] Meet and Greet 2分钟

2个插件总计20分钟

Reading: Helpful Tips for Course Completion 5分钟
Reading: Cheat Sheet: Advanced Retrievers for RAG 15分钟

In this module, you will explore FAISS, a powerful vector database used for efficient similarity search. You will compare FAISS with Chroma DB to understand its unique advantages and applications. Through hands-on experience, you will build a semantic search engine using FAISS in a non-RAG setting, demonstrating its versatility beyond retrieval-augmented generation (RAG). Finally, you will develop a fully functional RAG application, integrating FAISS, an advanced retriever, and a front-end UI built with Gradio. This module reinforces key RAG concepts while guiding learners through the process of creating an end-to-end AI-powered application.

涵盖的内容

2个视频3篇阅读材料2个作业3个应用程序项目2个插件

2个视频总计12分钟

Introduction to FAISS and How It compares to ChromaDB 5分钟
Course Wrap-Up 7分钟

3篇阅读材料总计6分钟

Summary and Highlights: Build a Comprehensive RAG Application 2分钟
Congratulations and Next Steps 2分钟
Team and Acknowledgements 2分钟

2个作业总计31分钟

Practice Quiz: Introduction to FAISS for RAG 10分钟
Graded Quiz: Build a Comprehensive RAG Application 21分钟

3个应用程序项目总计130分钟

Lab: Semantic Similarity with FAISS 60分钟
Lab: AI-Powered YouTube Summarizer, QA Tool with RAG, LangChain, FAISS 60分钟
[Optional] Interactive FAISS/HNSW Lesson Recap Podcast (AI-Powered) 10分钟

2个插件总计45分钟

Reading: Hierarchical Navigable Small World (HNSW) 30分钟
Cheat Sheet: Build a Comprehensive RAG Application 15分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

授课教师评分

(9个评价)

Wojciech 'Victor' Fulmyk

IBM

9 门课程 117,597 名学生

提供方

IBM

从 Software Development 浏览更多内容

Scrimba
Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases
课程
Coursera
Introduction to Retrieval Augmented Generation (RAG)
课程
Edureka
RAG Systems in Practice
课程
IBM
Vector Databases for RAG: An Introduction
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

学生评论

5 stars
83.92%
4 stars
8.92%
3 stars
3.57%
2 stars
0%
1 star
3.57%

显示 3/56 个

已于 Mar 13, 2026审阅

Its a wonderful course I got so far. I completed this and got good grasp in advanced vector DBs and finally ended with good profile of Gen AI Engineer lead role. Must watch.

查看更多评论

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

By mastering advanced RAG techniques and vector databases such as FAISS and Chroma DB, and learning to integrate with LangChain and Gradio, you'll be well-prepared for roles such as AI Developer, Data Engineer, AI Application Architect, Search Algorithm Engineer, or Technical Product Manager. These roles involve developing intelligent, efficient search systems, optimizing retrieval methods, and designing AI-driven applications that utilize advanced retrieval techniques.

No, machine learning experience is not a requirement! Although Python programming and an understanding of APIs and web development are recommended, this course focuses on implementing and optimizing retrieval systems using tools such as FAISS, LangChain, and Gradio. It's designed for developers and engineers looking to enhance their skills in building advanced search-driven AI applications without delving deeply into machine learning model training.

Traditional courses often focus on basic query optimization or relational databases. In contrast, this course dives deep into Retrieval-Augmented Generation (RAG) and advanced vector-based retrieval systems. You'll explore cutting-edge techniques such as similarity search, vector databases, and AI-driven retrieval strategies, applying these concepts to create dynamic, real-time, and context-aware search experiences. It's perfect for developers looking to leverage modern technologies for AI-enhanced search systems.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.