DevTech Insights

Agent Memory Architectures: Short-Term, Long-Term, and Episodic

Explore how LLM agents manage memory across short-term, long-term, and episodic stores. Learn practical Java implementations for persistent, context-aware AI...
Java RAG LLM AI Agents Memory Architecture Vector Databases

Structured Output and JSON Mode for Reliable LLM Integrations

Master structured output and JSON mode in LLM integrations. Learn validation techniques, schema enforcement, and practical Java examples for reliable product...
Java LLM Prompt Engineering JSON Structured Output AI Integration

PII Detection and Redaction in LLM-Powered Applications: A Practical Engineering Guide

Learn how to implement robust PII detection and redaction in LLM applications using open-source libraries and best practices for data privacy.
Java LLM Python Privacy PII Security

LLMOps: CI/CD, Evaluation, and Monitoring for AI Applications

Learn how to implement CI/CD pipelines, evaluation frameworks, and production monitoring for large language model applications in enterprise environments.
Monitoring LLM Production Evaluation AI Engineering MLOps LLMOps CI/CD

Prompt Versioning and A/B Testing for LLM Features: A Production-Ready Guide

Master prompt versioning and A/B testing for LLMs. Learn practical strategies to track prompt evolution, measure performance, and ship confident AI features.
Java LLM MLOps Software Engineering Prompt Engineering A/B Testing

Hands-On: Building MCP Servers and Clients in Java

Learn how to build Model Context Protocol servers and clients in Java. Step-by-step guide with code examples for integrating LLMs with external tools.
Java Spring Boot LLM AI MCP

GraphRAG: Using Knowledge Graphs to Improve LLM Answers

Discover how GraphRAG combines knowledge graphs with LLMs to reduce hallucinations and improve contextual accuracy. Learn implementation strategies and best...
RAG LLM AI Engineering GraphRAG Knowledge Graphs Natural Language Processing

Hybrid Search: Combining Vector and Keyword Retrieval for RAG

Learn how hybrid search combines vector and keyword retrieval to build more accurate, robust RAG systems. Includes Java examples and best practices.
Java RAG LLM Elasticsearch Hybrid Search Vector Search

Distilling and Quantizing LLMs for Edge and On-Prem Deployment

Learn how to distill and quantize large language models for efficient edge and on-prem deployment, reducing latency and costs while maintaining accuracy.
LLM Machine Learning Quantization Distillation Edge Computing On-Prem AI Optimization Model Deployment

Small Language Models (SLMs): When to Use Phi, Gemma, and MiniCPM

A practical guide to deploying Phi, Gemma, and MiniCPM on edge devices and in Java applications. Compare capabilities, latency, and resource usage for produc...
Small Language Models Phi Gemma MiniCPM Edge AI Java AI LLM Optimization