LangChain

Build LLM-powered applications with LangChain. Chains, agents, memory, RAG pipelines, vector stores, and production deployment patterns.

FundamentalsTopics 1–10

·What is LangChain
·Installation & Setup
·LLM & Chat Model Wrappers
·Prompt Templates
·Output Parsers
·LangChain Expression Language
·Runnables
·Document Loaders
·Text Splitters
·Vector Stores

Start Fundamentals →

IntermediateTopics 11–20

·RAG Pipelines
·Memory Types
·Agents
·Tools & Toolkits
·Callbacks & Tracing
·Embeddings Deep Dive
·Streaming
·Multi-Query Retrieval
·Contextual Compression
·Conversational RAG

Start Intermediate →

AdvancedTopics 21–30

·Custom Chains
·Custom Tools
·Custom Output Parsers
·Parent Document Retriever
·Self-Query Retrieval
·Ensemble Retrieval
·Custom Callbacks
·Async & Concurrency
·Few-Shot Prompt Templates
·ReAct Agent Pattern

Start Advanced →

ProductionTopics 31–40

·Caching Strategies
·Rate Limiting & Retries
·Testing LangChain Apps
·Evaluation Pipelines
·LangServe
·Deployment Patterns
·Cost Optimisation
·Security & Input Validation
·Observability with LangSmith
·Migrating from Legacy Chains

Start Production →