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Beginners Guide to LangChain Development with Python
00 Introduction to Prompt Engineering with LangChain
01 Introduction to LangChain - A Comprehensive Framework for LLM Applications
01b Understanding LangChain for Language Model Applications
02 Set up LangChain project in Jupyter Notebook with Anthropic (6:27)
03 Understanding retrieval chains in LangChain
04 Build a Retrieval Chain with LangChain and OpenAI (6:48)
01 Automate prompt to function pipeline with LangChain tool calling
What is LangChain Tool Use
02 Build a tool with LangChain Python SDK (6:15)
03 Build tool function calling with LangChain OpenAI Python SDK (4:49)
04 Invoke LangChain tool with a chain (5:16)
Source Files
02 Dataset Generation with LangChain Python for Synthetic CSV Data Analysis
01 Build a Data Model (5:53)
02 Build sample data for synthetic generation in Python (5:36)
03 Build a prompt template for data generation LLM (4:31)
04 Build a data generator with LangChain OpenAI Python SDK (3:17)
05 Generate synthetic data with LangChain OpenAI in Colab (4:19)
06 Save list to CSV in Python (9:15)
Source Files
03 Automate CSV Data Analysis with LangChain OpenAI Python SDK
01 Load CSV file into Pandas dataset (4:15)
02 Generate Pandas Code with LangChain OpenAI Python SDK (5:08)
03 Build Function Call to Use Python LangChain Tool (8:21)
04 Build Chain to Automate LangChain Tool Use (11:00)
Source Files
02 Set up LangChain project in Jupyter Notebook with Anthropic
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