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🎉 Promptimyzer 🎉

This is an example repo of how to use your own documentation to create a question answering bot using LangChain and the openAI API.

Langchain

There is a langchain quickstart under quickstart.ipynb

Documentation QA

You can ingest the documentation using ingest.py and then ask questions about it using qa.py

Meta-optimizing

This is the subject of this video. You can see the elements at play one by one in meta_optimizing.ipynb or as a streamlit app in meta_optimizing.py. Run with stramlit:

streamlit run meta_optimizing.py

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  • Jupyter Notebook 55.9%
  • JavaScript 21.3%
  • CSS 12.7%
  • Python 10.1%