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James Li

🤖 LLM Engineer specialized in building production-ready AI systems Expert in AI Agents, RAG, LangGraph, and LangChain

Location hangzhou, China Joined Joined on  Personal website https://github.com/muzinan123 github website
Building a Medical Literature Assistant: RAG System Practice Based on LangChain

Building a Medical Literature Assistant: RAG System Practice Based on LangChain

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14 min read
Build an enterprise-level financial data analysis assistant: multi-source data RAG system practice based on LangChain

Build an enterprise-level financial data analysis assistant: multi-source data RAG system practice based on LangChain

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16 min read
Enterprise-Level Deployment and Optimization of LLM Applications: A Production Practice Guide Based on LangChain

Enterprise-Level Deployment and Optimization of LLM Applications: A Production Practice Guide Based on LangChain

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15 min read
Design and Implementation of LLM-based Intelligent O&M Agent System

Design and Implementation of LLM-based Intelligent O&M Agent System

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5 min read
Building Enterprise-Level Data Analysis Agent: Architecture Design and Implementation

Building Enterprise-Level Data Analysis Agent: Architecture Design and Implementation

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9 min read
Building an Intelligent Customer Service Agent System from Scratch

Building an Intelligent Customer Service Agent System from Scratch

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5 min read
Agent Task Orchestration System: From Design to Production

Agent Task Orchestration System: From Design to Production

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4 min read
LangGraph State Machines: Managing Complex Agent Task Flows in Production

LangGraph State Machines: Managing Complex Agent Task Flows in Production

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3 min read
Building an Agent Tool Management Platform: A Practical Architecture Guide

Building an Agent Tool Management Platform: A Practical Architecture Guide

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3 min read
Agent Tool Development Guide: From Design to Optimization

Agent Tool Development Guide: From Design to Optimization

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4 min read
Building Enterprise-Level Agent Systems: Core Component Design and Optimization

Building Enterprise-Level Agent Systems: Core Component Design and Optimization

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5 min read
Building Enterprise Agent Systems: Core Component Design and Optimization

Building Enterprise Agent Systems: Core Component Design and Optimization

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4 min read
OpenAI Assistants API Enterprise Application Guide

OpenAI Assistants API Enterprise Application Guide

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4 min read
ReAct vs Plan-and-Execute: A Practical Comparison of LLM Agent Patterns

ReAct vs Plan-and-Execute: A Practical Comparison of LLM Agent Patterns

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4 min read
Building Reliable LLM Chain Architecture: From Fundamentals to Practice

Building Reliable LLM Chain Architecture: From Fundamentals to Practice

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3 min read
Data Flow in LLM Applications: Building Reliable Context Management Systems

Data Flow in LLM Applications: Building Reliable Context Management Systems

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2 min read
LLM Parallel Processing in Practice: Key Techniques for Performance Enhancement

LLM Parallel Processing in Practice: Key Techniques for Performance Enhancement

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3 min read
Building Intelligent LLM Applications with Conditional Chains - A Deep Dive

Building Intelligent LLM Applications with Conditional Chains - A Deep Dive

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3 min read
Building a Cost-Effective Multi-Model System: GPT-4 + GPT-3.5 Implementation Guide

Building a Cost-Effective Multi-Model System: GPT-4 + GPT-3.5 Implementation Guide

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3 min read
Detailed Explanation of LangChain's Prompt Component

Detailed Explanation of LangChain's Prompt Component

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3 min read
In-depth Exploration of LangChain's Advanced Features

In-depth Exploration of LangChain's Advanced Features

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2 min read
LangChain Memory Component Deep Dive: Chain Components and Runnable Study

LangChain Memory Component Deep Dive: Chain Components and Runnable Study

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5 min read
LangChain Memory Components In-depth Analysis: Workflow and Source Code Dissection

LangChain Memory Components In-depth Analysis: Workflow and Source Code Dissection

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4 min read
In-depth Analysis of LangChain Runnable Components: Flexible Configuration, Error Handling, and Lifecycle Management

In-depth Analysis of LangChain Runnable Components: Flexible Configuration, Error Handling, and Lifecycle Management

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5 min read
Analysis of Limitations of LCEL and AgentExecutor

Analysis of Limitations of LCEL and AgentExecutor

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3 min read
Introduction to LangGraph: Core Concepts and Basic Components

Introduction to LangGraph: Core Concepts and Basic Components

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3 min read
Advanced LangGraph: Implementing Conditional Edges and Tool-Calling Agents

Advanced LangGraph: Implementing Conditional Edges and Tool-Calling Agents

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3 min read
Advanced LangGraph: Building Intelligent Agents with ReACT Architecture

Advanced LangGraph: Building Intelligent Agents with ReACT Architecture

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3 min read
Advanced Techniques in LangGraph: Tips for Using Message Deletion in Graph Structure Applications

Advanced Techniques in LangGraph: Tips for Using Message Deletion in Graph Structure Applications

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2 min read
Checkpoints and Human-Computer Interaction in LangGraph

Checkpoints and Human-Computer Interaction in LangGraph

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3 min read
Building Complex AI Workflows with LangGraph: A Detailed Explanation of Subgraph Architecture

Building Complex AI Workflows with LangGraph: A Detailed Explanation of Subgraph Architecture

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3 min read
Advanced Features of LangGraph: Summary and Considerations

Advanced Features of LangGraph: Summary and Considerations

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3 min read
Two Basic Streaming Response Techniques of LangGraph

Two Basic Streaming Response Techniques of LangGraph

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3 min read
In-Depth Understanding of LangChain's Document Splitting Technology

In-Depth Understanding of LangChain's Document Splitting Technology

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3 min read
Introduction to RAG Application Development: Comprehensive Analysis of LangChain Document Processing

Introduction to RAG Application Development: Comprehensive Analysis of LangChain Document Processing

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3 min read
Detailed Explanation of LangChain's Vector Storage and Retrieval Technology

Detailed Explanation of LangChain's Vector Storage and Retrieval Technology

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3 min read
Customizing LangChain Components: Building a Personalized RAG Application

Customizing LangChain Components: Building a Personalized RAG Application

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6 min read
RAG Application Optimization Strategies: From Document Processing to Retrieval Techniques

RAG Application Optimization Strategies: From Document Processing to Retrieval Techniques

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5 min read
In-Depth Understanding of RAG Query Transformation Optimization: Multi-Query, Problem Decomposition, and Step-Back

In-Depth Understanding of RAG Query Transformation Optimization: Multi-Query, Problem Decomposition, and Step-Back

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3 min read
Comprehensive Performance Optimization for RAG Applications: Six Key Stages from Query to Generation

Comprehensive Performance Optimization for RAG Applications: Six Key Stages from Query to Generation

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2 min read
RAG Retrieval Performance Enhancement Practices: Detailed Explanation of Hybrid Retrieval and Self-Query Techniques

RAG Retrieval Performance Enhancement Practices: Detailed Explanation of Hybrid Retrieval and Self-Query Techniques

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3 min read
Optimizing RAG Indexing Strategy: Multi-Vector Indexing and Parent Document Retrieval

Optimizing RAG Indexing Strategy: Multi-Vector Indexing and Parent Document Retrieval

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4 min read
RAG Performance Optimization Engineering Practice: Implementation Guide Based on LangChain

RAG Performance Optimization Engineering Practice: Implementation Guide Based on LangChain

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4 min read
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