LangGraph Essentials: Bridging the Gap Between Technical and Non-Technical Teams
Unlock the power of LangGraph to build sophisticated AI workflows, fostering seamless collaboration between technical and non-technical teams.
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Understanding LangGraph Fundamentals
Unit 1: Introduction to LangGraph
What is LangGraph?
LangGraph Architecture
Nodes Explained
Edges and Connections
States in LangGraph
Unit 2: Benefits of Using LangGraph
Enhanced Modularity
Improved Collaboration
Simplified Debugging
Scalability and Flexibility
Visualization Benefits
Practical Applications and Real-World Examples
Unit 1: LangGraph in Customer Service
CS: Initial Triage
CS: Sentiment Analysis
CS: Task Automation
CS: Case Escalation
CS: Agent Assist
Unit 2: LangGraph in Finance
Finance: Fraud Detection
Finance: Risk Assessment
Finance: Compliance
Finance: Personalized Advice
Finance: Loan Processing
Unit 3: LangGraph in Healthcare
Healthcare: Diagnosis
Healthcare: Personalized Meds
Healthcare: Claims
Healthcare: Data Analysis
Healthcare: Research
Demystifying LangGraph's Technical Aspects
Unit 1: LangGraph Architecture Overview
Intro to LangGraph
Nodes and Edges
Graph States
Agents and Tools
Key Benefits
Unit 2: LLMs and Vector DBs
LLMs in LangGraph
Vector DBs
LLM + Vector DB Flow
Data Transformation
Real-World Examples
Unit 3: Basic Code Concepts
Setting up Env
Graph Creation
Node Implementation
Running the Graph
Visualizing LangGraph
Designing Nodes, Edges, and Managing State
Unit 1: Node Design Principles
Intro to Node Design
Node Responsibilities
Input/Output Specs
Node State Management
Node Design Best Practices
Unit 2: Understanding Edge Types
Intro to Edges
Conditional Edges
Function Calling Edges
Looping Edges
Edge Design Best Practices
Unit 3: Mastering State Management
Intro to State
Conversation History
User Preferences
State Persistence
State Best Practices
Hands-on LangGraph Application Development
Unit 1: Introduction to LangGraph Application Development
LangGraph Overview
Setting Up Environment
First Graph: Hello World
Adding a Second Node
Visualizing the Graph
Unit 2: LangGraph Templates and Customization
Template Overview
Template: Q&A System
Customizing the Prompt
Adding a Data Source
Template: Agent Executor
Unit 3: Persisting State and Advanced Features
State Management
In-Memory Storage
Database Integration
Conditional Edges
Graph Optimization
Collaboration, Future Trends, and Ethical Considerations
Unit 1: Fostering Collaboration with LangGraph
Intro to Team Dynamics
LangGraph as Translator
Workshops & Feedback
Conflict Resolution
Measuring Collab Success
Unit 2: LangGraph and the Future of AI
Integration w/Other Tools
Evolving Architectures
LangGraph & Automation
Future of AI and Lang
Predictions for LangGraph
Unit 3: Ethical Considerations in LangGraph
Bias in AI systems
Fairness in LangGraph
Transparency & Auditability
Data Privacy
Resp. AI Development