LangChain Learning Notes

A repository containing learning notes, examples, and experiments with LangChain - a framework for building applications with Large Language Models (LLMs). This is learning notes from YouTube LangChain tutorials.

Overview

This repository serves as a personal learning space for exploring LangChain capabilities, including:

• Building LLM-powered applications
• Working with vector stores (ChromaDB)
• Integrating with various LLM providers (DeepSeek, Ollama)
• Creating chains and agents
• Document processing and retrieval

Requirements

• Python >= 3.11

Installation

1. Clone this repository:

git clone <repository-url>
cd langchain-learning-notes

2. Install dependencies using uv:

uv sync

The uv sync command will automatically:

• Create a virtual environment (if it doesn't exist)
• Install all dependencies listed in pyproject.toml
• Lock the dependencies in uv.lock

Alternatively, using pip:

pip install -e .

Dependencies

• langchain - Core LangChain framework
• chromadb - Vector database for embeddings
• langchain-chroma - LangChain integration for ChromaDB
• langchain-deepseek - LangChain integration for DeepSeek models
• langchain-ollama - LangChain integration for Ollama

Usage

Run the main script:

python main.py

Project Structure

.
├── README.md          # This file
├── main.py            # Main entry point
├── pyproject.toml     # Project configuration and dependencies
└── uv.lock           # Dependency lock file

Learning Resources

This repository contains practical examples and notes from learning LangChain. Feel free to explore the code and experiment with different LangChain features.

License

This is a personal learning repository.