README.md

metadata

license: apache-2.0
title: My first agent with Langgraph
sdk: static
emoji: 🚀
colorFrom: green
colorTo: yellow
app_file: Introduction_to_LangGraph_for_Agents_Assignment_Version.ipynb

Session 5: Our First Agent with LangGraph

🤓 Pre-work	📰 Session Sheet	⏺️ Recording	🖼️ Slides	👨‍💻 Repo	📝 Homework	📁 Feedback
Session 5: Pre-Work	Session 5: Agents with LangGraph	Recording (ck*A3y%t)	Session 5: Agents	You Are Here!	Session 5 Assignment: Agents with LangGraph	AIE6 Feedback 4/15

In today's assignment, we'll be creating an Agentic LangChain RAG Application.

• 🤝 Breakout Room #1:

  1. Install required libraries
  2. Set Environment Variables
  3. Creating our Tool Belt
  4. Creating Our State
  5. Creating and Compiling A Graph!

• 🤝 Breakout Room #2:

  • Part 1: LangSmith Evaluator:
    1. Creating an Evaluation Dataset
    2. Adding Evaluators
  • Part 2:
    3. Adding Helpfulness Check and "Loop" Limits
    4. LangGraph for the "Patterns" of GenAI

Advanced Build

You are tasked to create an agent with 3 tools that can research a specific domain of your choice.

You must deploy the resultant agent with a Chainlit (or Custom) frontend.

Homework

How Does the Model Determine Which Tool to Use? Similar to any other model “decision” by generating tokens! Using the tools description + query the llm will make a decision if the user query could benefit from tool use.

Is There a Limit to How Many Times We Can Cycle? 25

How Are Correct Answers Associated with Questions? If the answer contains the must mention keywords for a given question based on the list.

Ship 🚢

The completed notebook!

Deliverables

• A short Loom of the notebook, and a 1min. walkthrough of the application in full

Share 🚀

Make a social media post about your final application!

Deliverables

• Make a post on any social media platform about what you built!

Here's a template to get you started:

🚀 Exciting News! 🚀

I am thrilled to announce that I have just built and shipped an Agentic Retrieval Augmented Generation Application with LangChain! 🎉🤖

🔍 Three Key Takeaways:
1️⃣ 
2️⃣ 
3️⃣ 

Let's continue pushing the boundaries of what's possible in the world of AI and question-answering. Here's to many more innovations! 🚀
Shout out to @AIMakerspace !

#LangChain #QuestionAnswering #RetrievalAugmented #Innovation #AI #TechMilestone

Feel free to reach out if you're curious or would like to collaborate on similar projects! 🤝🔥

NOTE: PLEASE SHUTDOWN YOUR INSTANCES WHEN YOU HAVE COMPLETED THE ASSIGNMENT TO PREVENT UNESSECARY CHARGES.