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🏗️TechStack Used: RAG Application implemented with
- LangChain
- OpenAI
- Text Embedding 3 small
- FAISS VectorStore
- Data: PDF
- Helper Functions working with pandas
- CSV
- Visualized with seaborn
Steps to Run the notebook
- Create a Python 3.11 environment
- pip install jupyter so you can run the notebook
- pip install -r requirements.txt to install all the requirements
- Get your OpenAI API key to run in google colab.
Next Planned Iterations:
- LlamaIndex implementation
- Adding observability with Langsmith
- Adding knowledge graphs
📚 About This GitHub repository is presents the code in googlecolab notebook https://colab.research.google.com/drive/1M7sjVdcyiVodtbD7gxsYwLq6OfsTaWUM?usp=sharing
This project is inpired by Noor Aftab https://github.com/aftabn81/TicketCopilot24