Java, AI, platform
Senior Java technologist, full-stack developer and tech entrepreneur. I design modern architectures, integrate LLMs into business applications, and support developers through training and mentoring.
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Giving Memory to Your AI: Managing Conversational Context with Spring AI
LLMs are stateless by nature: each request is processed independently. Spring AI solves this problem through the Chat Memory system and the Advisor pattern. In this article, we implement a chatbot with conversational memory in just a few lines of code.
RAG with Spring AI: Building a Data Ingestion Pipeline
RAG (Retrieval-Augmented Generation) enriches LLM responses with your own data. In this article, we build the ingestion pipeline: reading documents, splitting into chunks, generating embeddings, and storing them in PostgreSQL/PGVector.
ChatClient API: Getting Started with the Spring AI ChatClient
The ChatClient is the main entry point for interacting with AI models in Spring AI. In this article, we explore its usage through three sub-modules: a simple prompt with token tracking, a REST controller with multi-model streaming, and multimodality support.
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