11_Advanced_Retrieval

Session 11: Advanced Retrieval with LangChain

📰 Session Sheet	⏺️ Recording	🖼️ Slides	👨‍💻 Repo	📝 Homework	📁 Feedback
Advanced Retrievers	Recording! passcode: ?aLJ0gG^	Session 11 Slides	You are here!	Session 11 Assignment: Adv. Retrievers	Feedback 2/17

Prerequisites

Create a .env file in this directory with your API keys:

OPENAI_API_KEY=your_openai_api_key_here
COHERE_API_KEY=your_cohere_api_key_here

2. Run uv sync to install dependencies.

Build 🏗️

Run the notebook and complete the following:

• 🤝 Breakout Room Part #1
  • Task 1: Getting Dependencies!
  • Task 2: Data Collection and Preparation
  • Task 3: Setting Up QDrant!
  • Tasks 4-10: Retrieval Strategies
    • Naive RAG Chain
    • Best-Matching 25 (BM25)
    • Contextual Compression (Using Reranking)
    • Multi-Query
    • Parent Document
    • Ensemble
    • Semantic Chunking
• 🤝 Breakout Room Part #2
  • Activity: Evaluate with Ragas

🚧 Advanced Build 🚧 (OPTIONAL - open this section for the requirements)

NOTE: This can be done in place of the Main Assignment

Implement RAG-Fusion using the LangChain ecosystem.

When submitting, provide:

• Your Loom video link demonstrating the semantic chunking implementation
• The GitHub URL to your completed Advanced Build

Have fun!

Ship 🚢

• The completed notebook.
• 5min. Loom Video

Share 🚀

• Walk through your notebook and explain what you've completed in the Loom video
• Make a social media post about your final application and tag @AIMakerspace
• Share 3 lessons learned
• Share 3 lessons not learned

Submitting Your Homework

Main Homework Assignment

Follow these steps to prepare and submit your homework:

1. Pull the latest updates from upstream into the main branch of your AIE9 repo:
   • (You should have completed this process already.) For your initial repo setup, see Initial_Setup
   • To get the latest updates from AI Makerspace into your own AIE9 repo, run the following commands:

   git checkout main
   git pull upstream main
   git push origin main
   

2. IMPORTANT: Start Cursor from the 11_Advanced_Retrieval folder (you can also use the File -> Open Folder menu option of an existing Cursor window)
3. Answer Questions 1 - 3 using the ##### Answer: markdown cell below them in Advanced_Retrieval_with_LangChain_Assignment.ipynb
4. Complete Activity #1 in Advanced_Retrieval_with_LangChain_Assignment.ipynb
5. Add, commit and push your modified notebooks to your GitHub repository.

When submitting your homework, provide:

• Your Loom video link
• The GitHub URL to the 11_Advanced_Retrieval folder on your assignment branch