Foundations of Retrieval Augmented Generation Systems with Java | CodeSignal Learn

Skip to main content

intermediate

Foundations of Retrieval Augmented Generation Systems with Java

Artificial Intelligence

Trusted by learners working at top companies

Turn screen time into skills time

Practice anytime, anywhere with our mobile app.

Sign up

Join the 1M+ learners on CodeSignal

Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal

4 courses

53 practices

7 hours

This Java-based path teaches RAG fundamentals, showing how to combine retrieval and LLMs for accurate, context-rich generation. Learn RAG basics, use vector databases, apply embeddings for semantic search, and build a complete end-to-end RAG pipeline in Java.

4.2

149 learners

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

RAG Systems and Vector Databases

DEVELOPING

Text Representation

Tools you'll use

ChromaDB

Java

Course 1

Introduction to RAG with Java

3 lessons

8 practices

Learn what Retrieval-Augmented Generation (RAG) is, why combining retrieval with generation can reduce hallucinations, and how a basic RAG workflow contrasts with naive prompting. This course is mostly informational, setting the stage for more hands-on work in later courses.

Course 2

Text Representation Techniques for RAG Systems with Java

4 lessons

16 practices

Learn how to represent text effectively for Retrieval-Augmented Generation (RAG). Explore the importance of text representation, compare Bag-of-Words and embeddings, visualize embeddings with t-SNE, and assess their performance in document retrieval and semantic search.

Course 3

Scaling up RAG with Vector Databases in Java

3 lessons

14 practices

Scale your RAG system with a vector database. Learn to preprocess documents, store embeddings in ChromaDB, retrieve chunks using filters and weights, and build prompts for multi-chunk context. Also, manage updates and handle large-scale ingestion with batch strategies.

Course 4

Beyond Basic RAG: Improving our Pipeline in Java

4 lessons

15 practices

Enhance your RAG pipeline with advanced retrieval techniques. Combine BM25 with embeddings, refine queries iteratively, build final context, and constrain LLMs to use only retrieved data. Optionally, summarize multiple chunks into a concise context to improve accuracy and responses.

Scan to download

Other paths you may like

Fundamental Coding Interview Prep with Python

Introduction to Programming with Python

Mastering Algorithms and Data Structures in Python

Advanced Coding Interview Preparation with Python

Full-Stack Engineering with JavaScript

Prompt Engineering for Everyone

Journey into Data Science with Python

Java Programming for Beginners

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

+9

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

+8

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

name

Francisco Aguilar Meléndez

Data Scientist

+11

Company

About Careers Leadership Talent Science Newsroom

Collections

Generative AI Business & Leadership Interview Prep AI & Machine Learning Learn to Code Data Science & Engineering

Platform

Platform Overview Skills Assessments Live Tech Interviews AI Interviewer AI Role-Play AI Tutoring with Cosmo

Roles

Talent Acquisition Engineering Leaders Sales Leaders CS & Support Leaders IO Psychologists Individuals

Resources

Resource Library Blog Customer Stories Interview Prep API Docs

Support

Copyright © 2026 CodeSignal

Privacy Terms Compliance & Trust