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LICENSE
LICENSE
 
 
README.md
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client.py
client.py
 
 
example.env
example.env
 
 
requirements.txt
requirements.txt
 
 
serve.py
serve.py
 
 

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LangChain Starter

  • a starter repo on how to create your first simple LLM application using LangChain.
  • You can check out the complete explanation from the Langchain Documentation here

Libraries Used

  • langchain
  • langchain-groq
  • python-dotenv
  • fastapi

Installation

  1. Prerequisites
    • Git
    • Command line familiarity
  2. Clone the Repository: git clone https://github.com/NebeyouMusie/LangChain-Starter.git
  3. Create and Activate Virtual Environment (Recommended)
    • python -m venv venv
    • source venv/bin/activate for Mac and venv/bin/activate for Windows
  4. Navigate to the projects directory cd ./LangChain-Starter using your terminal
  5. Install Libraries: pip install -r requirements.txt
  6. Enter your GROQ_API_KEY and LANGCHAIN_API_KEY in the example.env file then change the file to .env. You can get your GROQ_API_KEY from here and your LANGCHAIN_API_KEY from here in the settings page.
  7. run python serve.py then, you should see the chain being served at http://localhost:8000
  8. run python client.py you'll see a response in your terminal

Collaboration

  • Collaborations are welcomed ❤️

Acknowledgments

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A starter repo on how to create your first simple LLM application using LangChain

Topics

python fastapi langchain langsmith langserve llm-application groq-api langchain-groq

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