Sample Projects and Additional Resources

  • A Google Sheet with Ideas and Data Sources: We're providing this Google Sheet as an additional resource to fuel your creative thinking. We have also included a list of real-time data sources in the document.
  • Please be aware that these ideas originated from a weekend brainstorming session done months ago by one of the course instructors (Mudit) and are not fully developed solutions. As developers, you may encounter technical challenges that haven't been specifically outlined in the document. The document should primarily serve as a guide for ideation around business use-cases of RAG/LLMs.
  • For UI component, most of these projects have used Streamlit, a popular Pythonic tool offered by Snowflake for data scientists. You can use it if you'd like.
  • Recently Developed Projects: This selection showcases projects created in the last 4-5 months by the Pathway community. Except for one, all the curated projects below are by student developers. 😊
  1. https://github.com/abdul756/AURA
  2. https://github.com/leabuende/mike-llm-slack-plugin/
  3. https://github.com/Alphawarrior21/AeroIntel.git
  4. https://github.com/ShivamHP/funcgenie/tree/main
  5. https://github.com/ananyaem/UPSC-LLM/
  6. https://github.com/AnavAgrawal/AlgoAce
  7. https://github.com/Paulescu/virtual-assistant-llm (Video)
  8. https://github.com/Arjun-G-04/github-ai
  9. https://github.com/souvikcseiitk/gate_cse_gpt
  10. https://github.com/SaumyaRR8/Youtube-playlist-chat
  11. https://github.com/CodeAceKing382/Stocks-Insight-App
  12. https://github.com/Sriraj-dev/VidQuest
  13. https://github.com/TushnikaC/InquireMate
  14. https://github.com/meghanmane84/Disaster-News-Alerts-RAG
  15. https://github.com/atiabjobayer/transfinitte-team404
  16. https://github.com/purrate/trail
  17. https://github.com/atulkrishna-4100/AdsGPT_Pathway_project
  18. https://github.com/AnimeshN/nutriGPT-database-python
  • LLM App Showcases: As seen earlier, the LLM App templates repository contains a variety of use cases within its examples folder, showcasing its wide range of applications. We encourage you to revisit this module to gain a better understanding and to discover the many innovative applications developed using it."
    • For example, this link shares how you can build your LLM app using local models instead of going for hosted APIs: Link.