Tagged articles

PromptTemplate

14 articles · Page 1 of 1

Aug 3, 2026 · Backend Development

Stop Hand‑Writing Prompts: Use LangChain Templates to Automate API Testing with AI

API testing often involves repetitive string concatenation, inconsistent output formats, and costly token usage; this article shows how LangChain's PromptTemplate and ChatPromptTemplate turn prompts into reusable, composable components that generate assertions, test data, log analysis, multi‑turn debugging, and more, with concrete Python examples.

API testingChatPromptTemplateJinja2

0 likes · 15 min read

Stop Hand‑Writing Prompts: Use LangChain Templates to Automate API Testing with AI

Coder Trainee

Jun 19, 2026 · Artificial Intelligence

Deep Dive into Spring AI: Advanced ChatClient, Prompt Templates, and Function Calling

This article explores Spring AI's core design patterns, advanced ChatClient usage, dynamic PromptTemplate creation, few‑shot prompting, structured output parsing, and declarative function calling with @Tool annotations, providing code examples, advisor mechanisms, and testing tips for Java developers.

AI integrationChatClientFunction Calling

0 likes · 13 min read

Deep Dive into Spring AI: Advanced ChatClient, Prompt Templates, and Function Calling

Tech Ocean

Jun 6, 2026 · Artificial Intelligence

Spring AI Day 3: Eliminating Hard‑Coded Prompts with Templates and Role Settings

The article explains how to move beyond static prompts in Spring AI by using System and User message roles, PromptTemplate placeholders with .param(), defaultSystem configuration for reusable role definitions, and independent PromptTemplate usage, providing concrete code examples for each technique.

ChatClientJavaPrompt Engineering

0 likes · 5 min read

Spring AI Day 3: Eliminating Hard‑Coded Prompts with Templates and Role Settings

The Dominant Programmer

May 25, 2026 · Artificial Intelligence

Hands‑On Spring AI with Ollama: Local Model Calls and Prompt Templates

This guide walks through integrating Ollama’s local LLM with Spring AI, explaining Prompt and PromptTemplate concepts, configuring application.yml, implementing a PromptService, adding controller endpoints, using external template files, and testing the setup with curl commands.

ChatClientJavaLLM

0 likes · 10 min read

Hands‑On Spring AI with Ollama: Local Model Calls and Prompt Templates

Tech Ocean

Apr 22, 2026 · Artificial Intelligence

Direct API vs LangChain: Master Every LLM Invocation Method in One Day

This article compares raw API calls with LangChain's abstractions, explains when to use ChatModel versus LLM interfaces, demonstrates model selection across providers, shows how to build prompt templates and output parsers, and provides a complete Python example with error‑handling best practices.

ChatModelLLMLangChain

0 likes · 10 min read

Direct API vs LangChain: Master Every LLM Invocation Method in One Day

Senior Xiao Ying

Apr 3, 2026 · Artificial Intelligence

Spring AI 1.1 GA: Quick Start Guide for Building Java AI Applications

This article introduces Spring AI, explains its purpose as a standardized Java framework for AI integration, highlights the new Model Context Protocol and expanded model support in version 1.1 GA, and provides a step‑by‑step tutorial—including dependencies, configuration, and code examples—to help developers quickly build AI‑powered applications.

AI integrationChatClientJava

0 likes · 7 min read

Spring AI 1.1 GA: Quick Start Guide for Building Java AI Applications

Xiaolong Cloud Tech Team

Nov 14, 2025 · Artificial Intelligence

Mastering Prompts in Spring AI: Design Tips for Better Model Responses

This article explains how Spring AI handles prompts, covering the Prompt and Message APIs, role-based message types, PromptTemplate creation, custom template renderers, tokenization basics, and practical code examples to help developers craft effective AI prompts.

AI integrationJavaMessage

0 likes · 16 min read

Mastering Prompts in Spring AI: Design Tips for Better Model Responses

BirdNest Tech Talk

Nov 7, 2025 · Artificial Intelligence

Mastering Chains in LangChainGo: Build Complex LLM Workflows Step‑by‑Step

This guide explains LangChainGo’s Chain abstraction, detailing the core Chain interface, the LLMChain implementation, various chain types such as SequentialChain and RetrievalQA, and provides a complete walkthrough of setting up prompts, creating chains, and executing them with example Go code.

ChainsGoLLMChain

0 likes · 8 min read

Mastering Chains in LangChainGo: Build Complex LLM Workflows Step‑by‑Step

Fun with Large Models

Jul 21, 2025 · Artificial Intelligence

Mastering LangChain Chains: Simple, Composite, and Custom Nodes with LCEL

This tutorial walks through LangChain's core concept of Chains, demonstrating how to build simple, composite, and custom node chains, use prompt templates and structured output parsers, and leverage the LCEL syntax for clean, modular LLM applications.

ChainLCELLangChain

0 likes · 14 min read

Mastering LangChain Chains: Simple, Composite, and Custom Nodes with LCEL

Qborfy AI

Apr 9, 2025 · Artificial Intelligence

Mastering LangChain PromptTemplates to Reduce AI Hallucinations

This tutorial walks through the concept of PromptTemplate in LangChain, demonstrates how to build chat prompt templates, use message placeholders, apply Few‑Shot prompting and ExampleSelector techniques, and shows concrete code and output examples that help mitigate large‑language‑model hallucinations.

AI hallucinationExampleSelectorFewShot

0 likes · 11 min read

Mastering LangChain PromptTemplates to Reduce AI Hallucinations

JavaEdge

Jun 23, 2024 · Artificial Intelligence

Build a Cultural Name‑Generator with LangChain, Custom Prompts, and Output Parsers

This tutorial walks through installing LangChain, creating an LLM (via own GPU resources or third‑party APIs), designing parameterized prompt templates, implementing a custom output parser for structured results, and running a complete Python example that generates culturally specific names.

AILLMLangChain

0 likes · 7 min read

Build a Cultural Name‑Generator with LangChain, Custom Prompts, and Output Parsers

Rare Earth Juejin Tech Community

Jan 28, 2024 · Artificial Intelligence

Building a Weibo Influencer Finder with LangChain and LLM

This article demonstrates how to use LangChain, LLMs, and SerpAPI to create a Weibo influencer‑search tool that extracts UID numbers, scrapes profile data, filters Chinese content, and prepares the information for automated marketing outreach.

AgentLLMLangChain

0 likes · 9 min read

Building a Weibo Influencer Finder with LangChain and LLM

JD Retail Technology

Nov 14, 2023 · Artificial Intelligence

An Overview of LangChain: Core Concepts, Components, and Practical Applications

This article introduces LangChain—a Python framework for building LLM‑driven applications—explains its core components such as models, indexes, chains, memory, and agents, and provides practical code examples for document summarization, retrieval‑augmented QA, and future development directions.

LLMLangChainPromptTemplate

0 likes · 19 min read

An Overview of LangChain: Core Concepts, Components, and Practical Applications

JD Tech

Nov 2, 2023 · Artificial Intelligence

An Introduction to LangChain: Core Components, Usage Patterns, and Practical Code Examples

This article explains what LangChain is, outlines its core components such as Models, Indexes, Chains, Memory and Agents, and demonstrates how to build LLM‑driven applications with detailed Python code snippets, visual diagrams, and future development suggestions.

AI FrameworkLLMLangChain

0 likes · 20 min read

An Introduction to LangChain: Core Components, Usage Patterns, and Practical Code Examples