README.md

LangChain Fundamentals

Course Outline

1. Setup Environment
2. Chat Models
3. Prompt Templates
4. Chains
5. RAG (Retrieval-Augmented Generation)
6. Agents & Tools

Getting Started

Installation

1. Clone the repository:

   git clone git@github.com:davoshack/building-with-llms-training-session-2.git
   cd building-with-llms-training-session-2/docs/langchain-fundamentals

2. Install requirements

   pip install -r requirements.txt

3. Set up your environment variables:

   • Rename the .env.example file to .env and update the variables inside with your own values. Example:

   mv .env.example .env

Repository Structure

Here's a breakdown of the folders and what you'll find in each:

1. Chat Models

• 1_chat_model_basic.py
• 2_chat_model_basic_conversation.py
• 3_chat_model_alternatives.py
• 4_chat_model_conversation_with_user.py
• 5_chat_model_save_message_history_firestore.py

2. Prompt Templates

• 1_prompt_template_basic.py
• 2_prompt_template_with_chat_model.py

3. Chains

• 1_chains_basics.py
• 2_chains_under_the_hood.py
• 3_chains_extended.py
• 4_chains_parallel.py
• 5_chains_branching.py

4. RAG (Retrieval-Augmented Generation)

• 1a_rag_basics.py
• 1b_rag_basics.py

5. Agents & Tools

• agent_and_tools_basics.py
• agent_react_chat.py