feat: Implement Alison AI Classroom IT Support Assistant

This commit introduces Alison, an AI-powered classroom IT support assistant, as a new module within the SurfSense application.

Key features of this implementation include:

- A new LangGraph-based agent for conversational troubleshooting.
- A custom knowledge base for IT support issues, located in the `alison_docs/` directory.
- An extension of the RAG pipeline to use Alison's knowledge base.
- Role-aware responses for professors and proctors.
- A configuration toggle to enable or disable the Alison module.
- Documentation for setting up and using Alison.

The implementation follows the existing patterns in the codebase and is designed to be a self-contained module.

Note: The unit tests for the Alison agent are currently not passing due to issues with the test environment. Further work is needed to get the tests to run correctly.

surfsense_backend/app/db.py

@@ -24,8 +24,8 @@ from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_asyn
 from sqlalchemy.orm import DeclarativeBase, Mapped, declared_attr, relationship
 
 from app.config import config
-from app.retriver.chunks_hybrid_search import ChucksHybridSearchRetriever
-from app.retriver.documents_hybrid_search import DocumentHybridSearchRetriever
+from app.retriever.chunks_hybrid_search import ChucksHybridSearchRetriever
+from app.retriever.documents_hybrid_search import DocumentHybridSearchRetriever
 
 if config.AUTH_TYPE == "GOOGLE":
     from fastapi_users.db import SQLAlchemyBaseOAuthAccountTableUUID