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Hands-On-LangChain-for-LLM-Applications-Development

Practical LangChain tutorials for LLM applications development

LangChain Basics

Topic	Blog	Kaggle Notebook	Youtube Video
Hands-On LangChain for LLM Applications Development: Prompt Templates
Hands-On LangChain for LLM Applications Development: Output Parsing
Hands-On LangChain for LLMs App Development: Chains
Hands-On LangChain for LLMs App: ChatBots Memory
Hands-On LangChain for LLMs App: Evaluating LLM Applications
Building LLM Agents Using LangChain & OpenAI API

Retrieval Augmented Generation (RAG) with LangChain

Topic	Blog	Kaggle Notebook	Youtube Video
Hands-On LangChain for LLM Applications Development: Documents Loading
Hands-On LangChain for LLM Applications Development: Documents Splitting Part 1
Hands-On LangChain for LLM Applications Development: Documents Splitting Part 2
Hands-On LangChain for LLM Applications Development: Vector Database & Text Embeddings
Hands-On LangChain for LLM Applications Development: Information Retrieval
Hands-On LangChain for LLMs App: Answering Questions From Documents
Hands-On LangChain for LLMs App: Chat with Your Files

Building LLM Agents with LangGraph

Topic	Blog	Kaggle Notebook	Youtube Video
Building Simple ReAct Agent from Scratch
LangGraph Components
Agentic Search Tools
Persistence and Streaming
Human in the Loop
Building Essay Writer Agent

Advanced LangChain with OpenAI

Topic	Blog	Kaggle Notebook	Youtube Video
Hands-On Introduction to Open AI Function Calling
LangChain Expression Language (LCEL)
Tagging and Extraction Using OpenAI functions
Tools and Routing using LangChain
Conversational agent with LangChain