spring ai

Enterprise RAG with Spring AI

Build secure RAG systems with Spring AI. Learn to import data from databases and documents via vectors and similarity search.

Expected Outcome

The ability to build a flow that transforms business data into searchable context and delivers accurate answers via an LLM.

Target Audience

Java developers needing to build AI solutions based on proprietary company data from both databases and internal files.

Prerequisites

Knowledge equivalent to 'Spring AI Jumpstart: Professional' is required to handle the data layer in AI applications.

Curriculum & Highlights

RAG Architecture & Patterns
VectorStore & Embedding Models
Data Import & Vectorization
Similarity Search & Context
QuestionAnswerAdvisor Integration
PGVector & SQL Connections
Structured vs Unstructured Data
Document Handling & Chunking

Challenges we address

"How are both database records and documents transformed into searchable AI context?"

"How is a portable VectorStore implemented that works with different databases?"

"How is it ensured that the AI retrieves the right information and bases its answers on internal data?"

Detailed Description
For AI to create genuine business value, it needs access to unique company data, whether stored in SQL databases or documents. The challenge lies in retrieving the right information and presenting it as relevant context to the language model at exactly the right time. Without a well-functioning RAG (Retrieval-Augmented Generation) architecture, you risk both incorrect answers and the insecure handling of sensitive information. This workshop focuses on the practical implementation of a data layer for AI through Active Learning. Solutions are built that ensure the AI stops guessing and instead delivers answers grounded in the organization's actual data. The goal is to provide the team with a clear methodology for managing data flows from existing systems in a way that is both scalable and vendor-agnostic. The implementation of the VectorStore abstraction is navigated, seeing how to use solutions like PGVector to store and search vectorized data. During the day, flows are built that import data and split it into manageable pieces (chunking) so the model can read it effectively. Similarity search is explored, and it is demonstrated how the QuestionAnswerAdvisor can automate the process where the model retrieves relevant information from internal sources to deliver high-precision answers. Actlea's core philosophy is that data is the single greatest differentiator in an AI strategy; the model is just the engine, but internal data is the fuel. Experience shows that the ability to integrate existing databases with AI models is the foundation for all secure Enterprise solutions in 2026. A key insight for modern teams is that controlling the information flow to the model determines whether an AI service actually creates value. This workshop provides the essential tools to transform database records and files into a living, searchable knowledge base on the Java platform.
Recommendation & Next Steps

Once the AI has access to relevant data, the next natural step is letting it act proactively in the 'Spring AI: Agents & Tools Foundations' workshop.

Format Workshop
Duration 1 day
Level Professional
Instructor Andreas Olsson
Price per group $2,900

Standard price per group (up to 12 participants) for remote delivery. Additional costs apply for onsite delivery.

Tech Stack
RAG VectorStore Spring AI PGVector Database AI Chunking
Andreas Olsson

Your Instructor

Andreas Olsson

Expertise through Active Learning

Java and the Spring Framework have been my core focus for over 20 years. Today, my mission is primarily to help organizations step into the future by integrating intelligent agents and AI-driven features into modern Java systems.

Actlea stands for Active Learning – the philosophy that programming is best learned by writing code, not by watching slides. My workshops focus on intensive, hands-on exercises designed to solve real-world problems.

I deliver proven training concepts globally across all timezones. While I specialize in remote delivery, I love to travel for onsite workshops. My modules are ready for immediate impact but can be tailored to your team's specific requirements.

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Enterprise teams trained by Actlea

Academic Work
Handelsbanken
Scania
Swedbank
CGI
SEB
Participant Reviews

What past participants say

Read about the pedagogical approach, the hands-on labs, and the impact on daily work.

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