AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.

3 Open Issues Need Help Last updated: Jul 14, 2025

Open Issues Need Help

View All on GitHub

AI Summary: Improve the user interface of a simple ticket submission form using HTML and CSS. The goal is to enhance the visual appeal, layout, responsiveness, and user experience without modifying the backend functionality. This involves styling existing form elements and potentially integrating a CSS framework.

Complexity: 3/5
enhancement help wanted good first issue

AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.

Python

AI Summary: The task is to brainstorm and propose architectural improvements to scale a lightweight AI-powered ticket management system built with LangChain and FAISS. This involves considering multi-user support, persistent storage (database selection), tracking ticket status, adding filtering/sorting capabilities, and potentially evolving the system into a SaaS offering. The current system uses simple text files for storage.

Complexity: 4/5
enhancement help wanted discussion scalability

AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.

Python

AI Summary: Migrate the existing ticket processing logic in `app/core.py` from a procedural approach to a LangChain LangGraph-based architecture. This involves creating a LangGraph chain with nodes for department classification, duplicate search (using FAISS), and ticket saving/updating, leveraging LangGraph's features like `state_schema` and `.invoke()`. The file-based storage system should be retained.

Complexity: 4/5
enhancement help wanted langchain refactor

AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.

Python