Embeddings Explained: From Theory to pgvector Practice
Learn how embeddings work, from vector math to semantic search, and implement them with pgvector in PostgreSQL for scalable AI applications.
Multimodal LLMs: Processing Images and Documents in Java
Learn to integrate multimodal LLMs in Java for image and document processing. Explore APIs, code examples, and best practices.
Building an LLM-Powered Slack Bot with Java: A Step-by-Step Guide
Learn how to build a Slack bot powered by LLM using Java, Spring Boot, and the Slack API. Includes code examples, best practices, and deployment tips.
Mastering AI Gateway Rate Limiting and Cost Control
Learn how to implement robust rate limiting and cost control for AI gateways. Explore strategies, code examples, and best practices to prevent budget overrun...
Evaluating RAG Systems: Metrics and Methods for Production-Ready AI
Learn how to evaluate RAG systems with key metrics like faithfulness, retrieval precision, and latency. Practical methods for building reliable AI pipelines.
Building a Local RAG System with Ollama and LangChain4j
Learn to build a fully local RAG system using Ollama and LangChain4j. Step-by-step guide with code examples, embeddings, and retrieval in Java.
LLM Function Calling: A Practical Guide for Backend Devs
Learn how to integrate LLM function calling into backend systems with practical examples in Java, covering setup, execution, error handling, and security.
Building a RAG Pipeline with pgvector and Spring Boot
Learn to build a scalable RAG pipeline using PostgreSQL's pgvector extension and Spring Boot. Step-by-step guide with code examples for embeddings, storage,...
Spring for Apache Kafka: Producer and Consumer Patterns
Explore Spring for Apache Kafka producer and consumer patterns with code examples, best practices, and error handling for robust event-driven microservices.
Spring Boot + Elasticsearch: Full-Text Search Integration
Learn to integrate Elasticsearch with Spring Boot for powerful full-text search. Step-by-step guide with code examples, best practices, and optimization tips.