https://github.com/mirabdullahyaser/ticketcopilot
This repository implements RAG using langchain for to support on-call Product Managers for managing support Tickets
https://github.com/mirabdullahyaser/ticketcopilot
Last synced: 3 months ago
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This repository implements RAG using langchain for to support on-call Product Managers for managing support Tickets
- Host: GitHub
- URL: https://github.com/mirabdullahyaser/ticketcopilot
- Owner: mirabdullahyaser
- Created: 2024-04-13T21:37:36.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-13T22:09:10.000Z (about 1 year ago)
- Last Synced: 2025-01-13T07:11:53.266Z (4 months ago)
- Language: Jupyter Notebook
- Size: 210 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Support: Support_ticket_text_data.csv
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README
# TicketCopilot24
🧑💻✈️ **What is TicketCopilot24**
TicketCopilot is friendly AI product sidekick that helps on-call product managers understand, analyze and resolve tickets faster than ever before.
Under the hood, leveraging the power of LLMs and RAG, driven on your company's data, this sidekick ensures that no ticket is unresolved..
🏗️**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**
1. Create a Python 3.11 environment
2. pip install jupyter so you can run the notebook
3. pip install -r requirements.txt to install all the requirements
4. 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