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LangChain

381 articles · Page 4 of 4
JD Tech
JD Tech
Jun 7, 2024 · Artificial Intelligence

Automated Test Case Generation Using LangChain, Vector Databases, and Large Language Models

This article presents a practical approach to automatically generate software test cases by leveraging LangChain, PDF parsing, vector‑database retrieval, and large language models, comparing it with existing tools, detailing implementation steps, code examples, experimental results, and future improvement directions.

LLMLangChainPDF parsing
0 likes · 14 min read
Automated Test Case Generation Using LangChain, Vector Databases, and Large Language Models
Sohu Tech Products
Sohu Tech Products
Jun 5, 2024 · Artificial Intelligence

Retrieval Augmented Generation (RAG): Concepts, Workflow, and LangChain Implementation

The article outlines LLM issues such as hallucination, outdated knowledge, and data privacy, then explains Retrieval‑Augmented Generation—detailing its data‑preparation and query‑time retrieval workflow, demonstrates a full LangChain implementation, and contrasts RAG with fine‑tuning as complementary strategies for up‑to‑date, grounded responses.

LLMLangChainPrompt Engineering
0 likes · 15 min read
Retrieval Augmented Generation (RAG): Concepts, Workflow, and LangChain Implementation
JavaEdge
JavaEdge
Jun 5, 2024 · Artificial Intelligence

Step‑by‑Step Guide to Building a Name‑Generator with LangChain and OpenAI

This tutorial walks through installing LangChain, creating an LLM with either self‑hosted or third‑party models, designing custom prompt templates, configuring output parsers for structured results, and running a complete Python example that generates culturally specific names using OpenAI's API.

LLMLangChainOpenAI
0 likes · 8 min read
Step‑by‑Step Guide to Building a Name‑Generator with LangChain and OpenAI
Tencent Cloud Developer
Tencent Cloud Developer
Jun 5, 2024 · Artificial Intelligence

Introduction to AI Development and Practical Applications

The article surveys AI development from early GPT experiments to real‑world deployments, explaining how tools like LangChain and Retrieval‑Augmented Generation enable sophisticated agents, multi‑prompt workflows, and function calls for chatbots, education, and creative content while addressing accuracy, resource, and ethical challenges.

AI DemosAI developmentBig Models
0 likes · 34 min read
Introduction to AI Development and Practical Applications
JD Retail Technology
JD Retail Technology
Jun 4, 2024 · Databases

How to Deploy and Query JD’s Open‑Source Vearch Vector Database for LLM Retrieval

This article walks through the practical use of JD’s self‑developed Vearch vector database—covering cluster creation, space setup, data insertion, and both text and vector search—illustrating how it integrates with LangChain and OpenAI embeddings to enable retrieval‑augmented generation for large language models.

EmbeddingLLM RetrievalLangChain
0 likes · 16 min read
How to Deploy and Query JD’s Open‑Source Vearch Vector Database for LLM Retrieval
Practical DevOps Architecture
Practical DevOps Architecture
May 30, 2024 · Artificial Intelligence

Eight‑Week LLM and Large Model Training Course Outline

This article outlines an eight‑week curriculum covering LLM evolution, PyTorch fundamentals, CUDA training, large‑model fine‑tuning, LangChain application development, cloud‑based quantization, industry case studies, and a recruitment session, providing video resources for each topic.

AIFine-tuningLLM
0 likes · 5 min read
Eight‑Week LLM and Large Model Training Course Outline
JD Retail Technology
JD Retail Technology
May 27, 2024 · Artificial Intelligence

Automating Test Case Generation with Large Language Models and LangChain

This article describes how large language models and the LangChain framework can be combined with PDF parsing, text chunking, memory management, and a vector database to automatically generate software test cases, achieving significant efficiency gains while outlining implementation details, results, and future challenges.

AILangChainPython
0 likes · 10 min read
Automating Test Case Generation with Large Language Models and LangChain
21CTO
21CTO
Apr 23, 2024 · Artificial Intelligence

How an AI‑Powered Interview Simulator Can Boost Your Job Prep

The AI Interview Simulator is a web app that uses AI to analyze users’ spoken answers via camera and microphone, offering real‑time, constructive feedback, and is built with Angular, Tailwind, HonoJS, LangChainJS, and Cloudflare services for hosting, edge computing, and data storage.

AIAngularCloudflare
0 likes · 4 min read
How an AI‑Powered Interview Simulator Can Boost Your Job Prep
JD Tech
JD Tech
Apr 18, 2024 · Artificial Intelligence

Getting Started with LangChain: Overview, Core Components, and Python Code Samples

This article introduces the LangChain framework for large language model integration, explains its key components and advantages, and provides step‑by‑step Python examples for setting up environment variables, creating prompts, chaining models, and using embeddings, completions, and chat models.

ChatModelEmbeddingLLM
0 likes · 7 min read
Getting Started with LangChain: Overview, Core Components, and Python Code Samples
DaTaobao Tech
DaTaobao Tech
Apr 17, 2024 · Artificial Intelligence

Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants

The article examines how LLM‑driven knowledge‑base QA and personal‑assistant agents struggle with context management, token limits, multimodal data, and tool‑parameter parsing, reviews open‑source frameworks such as LangChain, AutoGen and MetaGPT, and argues that fine‑tuning (e.g., LoRA) is essential for domain‑specific, scalable solutions.

AgentFine-tuningKnowledge Base
0 likes · 11 min read
Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants
21CTO
21CTO
Apr 12, 2024 · Artificial Intelligence

How I Built an AI‑Powered Resume Chatbot with LLMs and RAG

Senior developer Jon Olson shares how he created an AI resume assistant using GPT‑4/3.5, LangChain, LlamaIndex, and retrieval‑augmented generation, detailing prompt engineering, backend integration, and future routing features to help job seekers showcase their skills.

AI chatbotLLMLangChain
0 likes · 8 min read
How I Built an AI‑Powered Resume Chatbot with LLMs and RAG
HelloTech
HelloTech
Apr 10, 2024 · Artificial Intelligence

An Overview of LangChain: Architecture, Core Components, and Code Examples

LangChain is an open‑source framework that provides Python and JavaScript SDKs, templates, and services such as LangServe and LangSmith to compose models, embeddings, prompts, indexes, memory, chains, and agents via a concise expression language, enabling rapid prototyping, debugging, and deployment of LLM‑driven applications.

AI EngineeringAgentsJavaScript
0 likes · 19 min read
An Overview of LangChain: Architecture, Core Components, and Code Examples
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 10, 2024 · Artificial Intelligence

Master LangChain in 10 Minutes: From Basics to Advanced AI Engineering

This guide walks AI engineers through a rapid 10‑minute boot‑strap of LangChain, explaining its purpose, core concepts, design questions, environment setup, and step‑by‑step code examples that cover APIs, chains, memory, retrieval‑augmented generation, tools, agents, and the overall architecture.

AI EngineeringAgentsLLM
0 likes · 28 min read
Master LangChain in 10 Minutes: From Basics to Advanced AI Engineering
AI Large Model Application Practice
AI Large Model Application Practice
Mar 29, 2024 · Artificial Intelligence

How RAG Architecture Evolves: From Simple Chains to Flexible RAG Flows

This article examines the evolution of Retrieval‑Augmented Generation (RAG) architectures for large language models, outlines the challenges they face, introduces the modular RAG Flow concept with four workflow paradigms, and provides a step‑by‑step implementation using LangChain and LlamaIndex with code examples.

LLMLangChainRAG
0 likes · 15 min read
How RAG Architecture Evolves: From Simple Chains to Flexible RAG Flows
Sohu Tech Products
Sohu Tech Products
Mar 27, 2024 · Artificial Intelligence

Building a RAG Application with Baidu Vector Database and Qianfan Embedding

This tutorial walks through building a Retrieval‑Augmented Generation application by setting up Baidu’s Vector Database and Qianfan embedding service, configuring credentials, creating a document database and vector table, loading and chunking PDFs, generating embeddings, storing them, and performing scalar, vector and hybrid similarity searches, ready for integration with Wenxin LLM for answer generation.

AI ApplicationsBaidu QianfanDocument Retrieval
0 likes · 11 min read
Building a RAG Application with Baidu Vector Database and Qianfan Embedding
NewBeeNLP
NewBeeNLP
Mar 18, 2024 · Artificial Intelligence

Mastering RAG and LLM Techniques: From Retrieval to Fine‑Tuning

This article provides a comprehensive technical guide on Retrieval‑Augmented Generation (RAG), open‑source large language models such as LLaMA, fine‑tuning methods, evaluation metrics, memory‑optimization tricks, and attention‑related optimizations for modern AI systems.

LLMLangChainMemory Optimization
0 likes · 19 min read
Mastering RAG and LLM Techniques: From Retrieval to Fine‑Tuning
Ops Development & AI Practice
Ops Development & AI Practice
Mar 17, 2024 · Artificial Intelligence

How LangChain Is Transforming Code Generation and Software Development

LangChain, an open‑source framework that combines large‑language‑model capabilities with code understanding, enables automatic code generation, intelligent code analysis, documentation creation, and interactive programming tutoring, offering software engineers a powerful tool to accelerate development, improve quality, and stay ahead of emerging AI‑driven programming trends.

AILangChainSoftware Engineering
0 likes · 4 min read
How LangChain Is Transforming Code Generation and Software Development
Ctrip Technology
Ctrip Technology
Mar 15, 2024 · Artificial Intelligence

Real‑time Debugging Boosts the Effectiveness of AI‑Generated UI Automation Scripts

This article examines how integrating real‑time debugging with large‑model AI can dramatically improve the accuracy and success rate of automatically generated UI test scripts, presenting a LangChain‑based architecture, toolchain design, experimental results, and future challenges in AI‑driven UI automation.

AILangChainMobile Testing
0 likes · 10 min read
Real‑time Debugging Boosts the Effectiveness of AI‑Generated UI Automation Scripts
Baidu Geek Talk
Baidu Geek Talk
Mar 13, 2024 · Artificial Intelligence

Understanding Retrieval-Augmented Generation (RAG) and Building a Personal Knowledge Base with ERNIE SDK and LangChain

The article explains Retrieval-Augmented Generation (RAG), its workflow, advantages, comparison with fine-tuning, and provides a step-by-step implementation using Baidu's ERNIE SDK, LangChain, and ChromaDB to build a personal knowledge base that answers queries with retrieved context.

AIERNIE SDKKnowledge Base
0 likes · 13 min read
Understanding Retrieval-Augmented Generation (RAG) and Building a Personal Knowledge Base with ERNIE SDK and LangChain
AI Large Model Application Practice
AI Large Model Application Practice
Mar 12, 2024 · Artificial Intelligence

How to Build a Corrective RAG Agent with LangGraph: A Step‑by‑Step Guide

This article explains how to use LangGraph—a graph‑based extension of LangChain—to implement a corrective RAG (C‑RAG) pipeline that evaluates retrieved documents, rewrites queries when needed, performs web search, and generates accurate answers, complete with code snippets and a runnable example.

Corrective RAGLLMLangChain
0 likes · 14 min read
How to Build a Corrective RAG Agent with LangGraph: A Step‑by‑Step Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 6, 2024 · Artificial Intelligence

Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples

This article explains how LangChain simplifies building and integrating large language model applications by providing modular components such as models, prompts, indexes, tools, memory, chains, and agents, illustrated with practical use cases like travel assistants, face‑recognition troubleshooting, and multi‑agent workflows.

AI agentsLLMLangChain
0 likes · 44 min read
Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples
Alibaba Cloud Native
Alibaba Cloud Native
Feb 28, 2024 · Cloud Native

Building a Unified Cloud‑Native Serverless Platform Across Public Cloud and IDC with ACK One & Knative

This guide explains how to design and implement a unified cloud‑native serverless platform that runs seamlessly on public clouds and on‑premise IDC clusters using Alibaba Cloud ACK One, Kubernetes, and Knative, covering architecture, key components, deployment steps, and best‑practice recommendations.

ACK OneKnativeKubernetes
0 likes · 11 min read
Building a Unified Cloud‑Native Serverless Platform Across Public Cloud and IDC with ACK One & Knative
DaTaobao Tech
DaTaobao Tech
Feb 21, 2024 · Artificial Intelligence

An Overview of LangChain: Core Concepts and Practical Implementations

The article introduces LangChain as a framework that unifies LLM providers through model I/O, connects external data via retrievers, composes workflows with chains, maintains context with memory, and enables tool use through agents, and demonstrates Java examples for TongYi embeddings, a ChatGLM‑6B RetrievalQA chain, and discusses agent registration and micro‑service‑based agent factories.

EmbeddingLLMLangChain
0 likes · 9 min read
An Overview of LangChain: Core Concepts and Practical Implementations
DaTaobao Tech
DaTaobao Tech
Feb 19, 2024 · Artificial Intelligence

AI/ML Technology Articles Collection

This collection compiles technical articles that explore diverse AI/ML applications, from deploying large language models on MacBooks and building e‑commerce recommendation engines, to leveraging the LangChain framework, creating AIGC‑driven fashion solutions, and implementing Stable Diffusion for image generation.

AIAIGCLLM
0 likes · 1 min read
AI/ML Technology Articles Collection
Baidu Geek Talk
Baidu Geek Talk
Feb 7, 2024 · Artificial Intelligence

Design and Implementation of a Knowledge-Base Intelligent Q&A System for Database Operations Using Large Models

The paper details Baidu Intelligent Cloud’s design and deployment of a domain‑specific knowledge‑base Q&A system for database operations, combining prompt‑engineered LLMs with hybrid vector‑search using LangChain, BES vector store, and custom ingestion, addressing recall, token limits, and hallucination challenges across dashboard and IM bot interfaces.

AIDatabase OperationsKnowledge Base
0 likes · 16 min read
Design and Implementation of a Knowledge-Base Intelligent Q&A System for Database Operations Using Large Models
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 7, 2024 · Artificial Intelligence

Step-by-Step Guide to Building Multi‑Agent Applications with LangChain LangGraph in Google Colab

This tutorial walks through installing LangChain, LangGraph and related packages in Google Colab, configuring environment variables, defining search and Twitter‑writer tools, constructing a StateGraph workflow with supervisor logic, and executing a multi‑agent LLM pipeline using LangChain’s new multi‑agent capabilities.

AIGoogle ColabLLM
0 likes · 11 min read
Step-by-Step Guide to Building Multi‑Agent Applications with LangChain LangGraph in Google Colab
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 31, 2024 · Artificial Intelligence

Advanced RAG with Semi‑Structured Data Using LangChain, Unstructured, and ChromaDB

This tutorial demonstrates how to build an advanced Retrieval‑Augmented Generation (RAG) system for semi‑structured PDF data by leveraging LangChain, the unstructured library, ChromaDB vector store, and OpenAI models, covering installation, PDF partitioning, element classification, summarization, and query execution.

AIChromaDBLangChain
0 likes · 11 min read
Advanced RAG with Semi‑Structured Data Using LangChain, Unstructured, and ChromaDB
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 22, 2024 · Artificial Intelligence

Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation

This article explains how Prompt Engineering combined with the CAMEL framework enables role‑playing AI agents to automatically generate and manage prompts, illustrates the concept with a stock‑trading example, and provides Python code using LangChain to build a marketing‑automation agent for a small business.

AI agentsCAMELInception Prompting
0 likes · 11 min read
Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation
Data Thinking Notes
Data Thinking Notes
Dec 24, 2023 · Artificial Intelligence

Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide

This article explores how AI agents, particularly those built with LangChain, can enhance Text2SQL performance by decomposing queries, leveraging tools, memory, and planning, and provides practical code examples and future directions for developers.

AI AgentLangChainPrompt Engineering
0 likes · 16 min read
Boost Text2SQL Accuracy with AI Agents: A LangChain Practical Guide
37 Interactive Technology Team
37 Interactive Technology Team
Dec 18, 2023 · Frontend Development

Using LangChain to Automatically Generate Front‑End Code from Documentation

This guide shows how to use LangChain with OpenAI’s API, Puppeteer, and vector stores to automatically read local or web‑based API documentation, split and retrieve relevant text, and prompt an LLM to generate ready‑to‑use TypeScript front‑end code, highlighting setup, prompt design, and example outputs.

Artificial IntelligenceFront-end Code GenerationLangChain
0 likes · 15 min read
Using LangChain to Automatically Generate Front‑End Code from Documentation
Data Thinking Notes
Data Thinking Notes
Dec 12, 2023 · Artificial Intelligence

Boosting Text‑to‑SQL Accuracy with Prompt Engineering and LLMs

This article examines the challenges of LLM‑based Text‑to‑SQL such as hallucinations, data‑security risks, and user input errors, and presents prompt‑engineering strategies, fine‑tuning comparisons, prompt types, code examples, and experimental results to improve reliability and cost‑effectiveness.

Artificial IntelligenceLLMLangChain
0 likes · 15 min read
Boosting Text‑to‑SQL Accuracy with Prompt Engineering and LLMs
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Dec 12, 2023 · Artificial Intelligence

How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations

This article explains the concept of AI Agents in the large‑language‑model era, details LangChain's implementation mechanics, shares practical challenges and optimizations encountered by NetEase Cloud Music, and provides step‑by‑step code examples and performance insights for building robust AI Agents.

AI AgentDebuggingLLM
0 likes · 20 min read
How LangChain Powers AI Agents: Principles, Debugging, and Real‑World Optimizations
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 29, 2023 · Artificial Intelligence

Building a Private LLM‑Powered Knowledge Base with LangChain and ChatGLM3

This article explains how to migrate personal notes into a private knowledge base by combining a large language model with an external vector store, detailing the concepts of tokenization, embedding, vector databases, and step‑by‑step deployment using LangChain‑Chatchat and the open‑source ChatGLM3 model.

ChatGLM3EmbeddingKnowledge Base
0 likes · 10 min read
Building a Private LLM‑Powered Knowledge Base with LangChain and ChatGLM3
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 24, 2023 · Artificial Intelligence

Step-by-Step Guide to Deploying LangChain‑Chatchat with ChatGLM‑2 on a Local Machine

This article provides a comprehensive tutorial on setting up the LangChain‑Chatchat open‑source project, covering environment preparation, model and embedding downloads, configuration files, database initialization, API service launch, and example curl commands for interacting with both the large language model and the local knowledge base.

APIChatGLMEmbedding
0 likes · 9 min read
Step-by-Step Guide to Deploying LangChain‑Chatchat with ChatGLM‑2 on a Local Machine
Baobao Algorithm Notes
Baobao Algorithm Notes
Nov 7, 2023 · Artificial Intelligence

A Complete Technical Guide to LLM Foundations, Advanced Topics, Fine‑Tuning, and LangChain Applications

This article provides an in‑depth technical overview of large language models (LLMs), covering core model families, architectural differences, emergent abilities, common challenges such as repetition and token limits, detailed fine‑tuning strategies including PEFT, practical guidance for training custom models, and a thorough introduction to the LangChain framework with code examples, core concepts, and troubleshooting tips for building LLM‑powered applications.

Fine-tuningLLMLangChain
0 likes · 97 min read
A Complete Technical Guide to LLM Foundations, Advanced Topics, Fine‑Tuning, and LangChain Applications
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Oct 19, 2023 · Artificial Intelligence

How to Build a Retrieval‑Augmented LLM Knowledge Base on Alibaba Cloud

This guide details a complete end‑to‑end solution for constructing a large‑language‑model knowledge‑base chatbot on Alibaba Cloud, covering background, modular architecture, vector database selection, text preprocessing, embedding models, LLM fine‑tuning, prompt engineering, deployment with PAI‑EAS and BladeLLM, and real‑world results.

AILLMLangChain
0 likes · 37 min read
How to Build a Retrieval‑Augmented LLM Knowledge Base on Alibaba Cloud
AI Large Model Application Practice
AI Large Model Application Practice
Oct 18, 2023 · Artificial Intelligence

How to Extract and Embed Tables and Images from PDFs for Multimodal RAG

This article explains a practical approach to parsing PDFs containing text, tables, and images, using the open‑source Unstructured library and LlaVA model, then embedding each modality into a vector store with multi‑vector retrieval to enable accurate semantic search in private‑knowledge RAG pipelines, with optional LangChain integration.

LLMLangChainRAG
0 likes · 12 min read
How to Extract and Embed Tables and Images from PDFs for Multimodal RAG
dbaplus Community
dbaplus Community
Oct 14, 2023 · Artificial Intelligence

Demystifying Retrieval‑Augmented Generation: From Theory to Working Chatbot

This guide explains the Retrieval‑Augmented Generation (RAG) technique, detailing how user queries are matched to private knowledge bases, how relevant passages are retrieved, and how large language models use those passages to generate context‑aware answers, complete with code examples and practical tips.

ChatbotEmbeddingLLM
0 likes · 19 min read
Demystifying Retrieval‑Augmented Generation: From Theory to Working Chatbot
UCloud Tech
UCloud Tech
Sep 11, 2023 · Artificial Intelligence

Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide

This article walks through constructing a domain‑specific, soul‑healing chatbot using LangChain and Llama 2, comparing fine‑tuning versus external knowledge bases, detailing environment setup, data loading, text splitting, embedding with a Chinese model, vector store creation, prompt engineering, inference, and optimization strategies.

Fine-tuningKnowledge BaseLangChain
0 likes · 14 min read
Build a Soul‑Healing Chatbot with LangChain & Llama 2: A Step‑by‑Step Guide
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Sep 1, 2023 · Artificial Intelligence

Understanding Function Calling and ReAct for LLM Agents with LangChain

This article explains how large language models can act as agents by using OpenAI's Function Calling and the ReAct prompting paradigm, compares their trade‑offs, and demonstrates practical implementations with LangChain, including code examples for defining tools, invoking functions, and orchestrating multi‑step reasoning.

AIAgentFunction Calling
0 likes · 21 min read
Understanding Function Calling and ReAct for LLM Agents with LangChain
Architect
Architect
Aug 31, 2023 · Artificial Intelligence

Building a Custom LLM Chatbot with LangChain, ChromaDB, and LLaMA‑2

This tutorial explains how to leverage generative AI tools—including LLMs, embedding models, vector databases, and the LangChain framework—to create a custom chatbot that answers user queries using a knowledge base, with step‑by‑step code examples for Google Colab.

ChatbotEmbeddingLLM
0 likes · 15 min read
Building a Custom LLM Chatbot with LangChain, ChromaDB, and LLaMA‑2
AI Large Model Application Practice
AI Large Model Application Practice
Aug 21, 2023 · Artificial Intelligence

Building an AI Sales Assistant: Enterprise LLM Architecture and Agent Workflow

This article outlines a practical enterprise architecture for integrating large language models into a sales assistant, detailing knowledge ingestion, vector embedding, task planning, tool usage, and iterative dialogue, while introducing AI Agent concepts and open‑source frameworks such as LangChain.

AI AgentEnterprise integrationLLM
0 likes · 10 min read
Building an AI Sales Assistant: Enterprise LLM Architecture and Agent Workflow
DataFunTalk
DataFunTalk
Aug 17, 2023 · Artificial Intelligence

Introduction to LangChain: Concepts, Tools, and Example Applications

This article introduces the LangChain framework, explains its core concepts such as models, prompts, agents, memory, indexes, and tools, provides detailed code examples for each component, and demonstrates practical applications ranging from chatbots to image generation, helping readers understand and build powerful LLM-powered solutions.

AgentsLangChainPython
0 likes · 27 min read
Introduction to LangChain: Concepts, Tools, and Example Applications
21CTO
21CTO
Aug 16, 2023 · Artificial Intelligence

Top Python Libraries for Building Generative AI Apps: A Quick Reference

This cheat‑sheet summarizes the leading Python libraries for creating generative AI applications—covering OpenAI, Transformers, Gradio, LangChain, LlamaIndex and more—providing a concise, practical guide for both beginners and seasoned developers.

GradioLangChainOpenAI
0 likes · 3 min read
Top Python Libraries for Building Generative AI Apps: A Quick Reference
Architect's Guide
Architect's Guide
Aug 10, 2023 · Artificial Intelligence

Getting Started with LangChain: Building LLM Applications in Python

This tutorial introduces LangChain, an open‑source Python framework that provides unified model access, prompt management, memory, retrieval, and tool integration, enabling developers to quickly prototype AI‑driven applications using large language models and various external data sources.

AgentsLLMLangChain
0 likes · 13 min read
Getting Started with LangChain: Building LLM Applications in Python
Architect
Architect
Jul 31, 2023 · Artificial Intelligence

Getting Started with LangChain: Building LLM‑Powered Applications

This article introduces LangChain, explains why it’s useful for building applications with large language models, walks through installation, API‑key setup, model and embedding selection, prompt engineering, chaining, memory, agents, and vector‑store indexing, and provides runnable Python code examples throughout.

AgentsLLMLangChain
0 likes · 16 min read
Getting Started with LangChain: Building LLM‑Powered Applications
MoonWebTeam
MoonWebTeam
Jul 28, 2023 · Artificial Intelligence

Unlocking LangChain: A Complete Guide to Building LLM Applications

This article introduces LangChain, explains its architecture and core components, and provides step‑by‑step Python examples for chat models, embeddings, prompts, indexes, chains, memory, agents, and practical use‑cases such as QA bots, web search, summarization, and persistent vector stores.

LLMLangChainPython
0 likes · 34 min read
Unlocking LangChain: A Complete Guide to Building LLM Applications
DaTaobao Tech
DaTaobao Tech
Jul 26, 2023 · Artificial Intelligence

LangChain: A New Chapter in Large Language Models

In this event, a senior Alibaba Taobao Tech engineer introduces LangChain—a framework for large language models—explaining its core concepts, diverse applications, and future directions, and shows attendees how to leverage the platform to boost AI capabilities within their own businesses.

AIAlibabaDataFun
0 likes · 1 min read
LangChain: A New Chapter in Large Language Models
Tencent Cloud Developer
Tencent Cloud Developer
Jul 24, 2023 · Artificial Intelligence

Building an Internal Code Knowledge Base with Embedding and AST Interpreter

The author builds an internal code knowledge base for the TDesign Vue‑Next library by scraping documentation, chunking and embedding texts with OpenAI’s ada model into a vector store, then retrieving relevant chunks for LLM answers, and enhances context continuity using a JavaScript AST interpreter, achieving up to 90 % query accuracy and a 20 % productivity boost.

ASTEmbeddingKnowledge Base
0 likes · 11 min read
Building an Internal Code Knowledge Base with Embedding and AST Interpreter
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 20, 2023 · Artificial Intelligence

How AI Agents and Tools Transform Operations: A Hands‑On LangChain Guide

This article explores how large AI models can act as autonomous agents equipped with tools, demonstrates practical LangChain examples for remote server queries and RSS parsing, explains the ReAct reasoning‑acting loop, and shows how decorators and object‑oriented patterns enable seamless AI‑driven programming.

AIAgentsLangChain
0 likes · 32 min read
How AI Agents and Tools Transform Operations: A Hands‑On LangChain Guide
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 10, 2023 · Artificial Intelligence

Enhancing Large Language Models with LangChain: Prompt Engineering, Chains, Agents, and Node.js Implementation

This article explains the limitations of large language models, introduces prompt engineering as a remedy, and provides a comprehensive guide to using the LangChain framework—including models, prompts, chains, agents, vector search, and practical Node.js code examples—to enable LLMs to interact with external tools and data sources.

AI developmentAgentsLLM
0 likes · 35 min read
Enhancing Large Language Models with LangChain: Prompt Engineering, Chains, Agents, and Node.js Implementation
21CTO
21CTO
Jul 8, 2023 · Artificial Intelligence

Unlocking LangChain: Build End-to-End LLM Apps with Chains, Agents, and Memory

This article introduces LangChain—a modular framework for constructing large‑language‑model applications—covering its core components, asynchronous support, prompt engineering, memory handling, chain and agent workflows, token considerations, embedding techniques, and a step‑by‑step Python example that culminates in a Gradio‑based conversational chatbot.

AI developmentEmbeddingLangChain
0 likes · 20 min read
Unlocking LangChain: Build End-to-End LLM Apps with Chains, Agents, and Memory
Architect
Architect
Jul 7, 2023 · Artificial Intelligence

Introduction to LangChain: Building LLM Applications with Chains, Agents, and Memory

LangChain is an innovative framework that simplifies building language‑model‑driven applications by providing modular components such as models, prompts, memory, chains, and agents, with examples of asynchronous LLM calls, custom prompt templates, vector stores, token handling, and a simple Gradio chatbot implementation.

AIChatbotLLM
0 likes · 21 min read
Introduction to LangChain: Building LLM Applications with Chains, Agents, and Memory
DaTaobao Tech
DaTaobao Tech
Jul 7, 2023 · Artificial Intelligence

Introduction to LangChain: Concepts, Tools, and Applications

The article introduces LangChain, a framework that unifies language models, prompts, memory, retrieval, and tool‑driven agents into composable chains, illustrating its core components, code examples, end‑to‑end applications such as retrieval‑augmented QA and image generation, and outlining future uses in customer service, recommendation, and automated code review.

AIAgentsLLM
0 likes · 25 min read
Introduction to LangChain: Concepts, Tools, and Applications
phodal
phodal
Jun 27, 2023 · Artificial Intelligence

Designing an LLM‑Powered Architecture: The ArchGuard Co‑mate Reference Model

This article presents a detailed reference architecture for building LLM‑driven applications, using the ArchGuard Co‑mate project to illustrate layered design, local model integration, DSL‑based orchestration, and streaming LLM interfaces, complete with code examples and practical implementation notes.

AI opsKotlinLLM
0 likes · 10 min read
Designing an LLM‑Powered Architecture: The ArchGuard Co‑mate Reference Model
ByteDance Web Infra
ByteDance Web Infra
Jun 16, 2023 · Artificial Intelligence

How AIGC Transforms Document Search: Architecture, Techniques, and Future Directions

This article explains how AI‑generated content (AIGC) reshapes document search by combining traditional indexing with modern embedding and prompt‑tuning techniques, reviews key components such as LangChain and Supabase, compares existing AI‑search products, and discusses the future blend of classic and AI‑driven search.

AI SearchAIGCDocument Retrieval
0 likes · 15 min read
How AIGC Transforms Document Search: Architecture, Techniques, and Future Directions
Ziru Technology
Ziru Technology
Jun 16, 2023 · Artificial Intelligence

Using ChatGPT, WhisperX, and LangChain for Smart Meetings & Knowledge Bases

Ziroom demonstrates how large language models like ChatGPT, combined with WhisperX transcription and LangChain-powered pipelines, can automate meeting minutes, generate summaries, and build intelligent knowledge bases, outlining implementation steps, code snippets, and practical challenges for internal AI adoption.

AIChatGPTLangChain
0 likes · 10 min read
Using ChatGPT, WhisperX, and LangChain for Smart Meetings & Knowledge Bases
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 12, 2023 · Artificial Intelligence

Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications

This article provides a detailed, step‑by‑step tutorial on OpenAI’s language models, API endpoints, prompt engineering, embeddings, moderation, fine‑tuning, LangChain workflows, memory management, and multimodal capabilities such as audio transcription and image generation, complete with code examples and practical usage tips.

APIEmbeddingFine-tuning
0 likes · 45 min read
Comprehensive Guide to Using OpenAI APIs: Models, Prompts, Embeddings, Fine‑Tuning, LangChain, and Multimodal Applications
21CTO
21CTO
Jun 2, 2023 · Artificial Intelligence

Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps

LangChain, launched in 2022, quickly evolved from a Python library to a multi‑environment framework that helps developers build chat‑based applications, agents, and memory‑aware LLM solutions, while integrating with major cloud and AI tooling ecosystems.

AI agentsAuto-GPTChat applications
0 likes · 8 min read
Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
May 15, 2023 · Artificial Intelligence

How LangChain, Auto‑GPT, and HuggingGPT Shape LLM‑Powered Application Development

This article analyzes the current landscape of large‑language‑model application frameworks—LangChain, Auto‑GPT, and HuggingGPT—detailing their core capabilities, workflow patterns, limitations, and how they enable developers to integrate LLMs into real‑world products while outlining future platform requirements.

AI frameworksApplication DevelopmentAuto-GPT
0 likes · 17 min read
How LangChain, Auto‑GPT, and HuggingGPT Shape LLM‑Powered Application Development
DeWu Technology
DeWu Technology
Mar 17, 2023 · Artificial Intelligence

Prompt‑Ops and LangChain: Engineering LLM Applications

Prompt‑Ops frameworks like LangChain let developers turn pre‑trained LLMs into versatile applications by abstracting model calls, chaining prompts, integrating tools, managing memory, and handling private data, while addressing challenges such as nondeterminism, version control, and prompt injection in production environments.

AI ApplicationsAgentLLM
0 likes · 15 min read
Prompt‑Ops and LangChain: Engineering LLM Applications