DevTech Insights

Building a Semantic Cache for LLM Calls with Redis

Learn how to build a semantic cache for LLM calls using Redis and embeddings to reduce costs and latency while maintaining response quality.
LLM Embeddings AI Redis Semantic Cache

Guardrails for LLM Applications: Input and Output Validation

Learn how to implement robust input and output validation for LLM applications. Explore techniques, tools, and best practices to ensure safety and reliability.
LLM Input Validation Output Validation AI Safety Guardrails

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.
embeddings machine learning pgvector PostgreSQL vector search

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.
Java Spring Boot OpenAI Document Processing Multimodal LLM Image Processing

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.
Java Spring Boot LLM Chatbot AI Slack

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...
LLM AI Gateway Rate Limiting Cost Control API Management

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.
Metrics RAG LLM Evaluation AI Engineering

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.
Java RAG LLM LangChain4j AI Ollama

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.
Java LLM OpenAI API Function Calling Backend

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 Boot RAG AI pgvector PostgreSQL