[x] Setup chromaDB vector store function in db_store.py
[x] Setup LLM integration with Langchain & Anthrophic, able to do vector search & relevant response
[x] Both functions are OK to test with
[x] Built unit tests in db_test.go which tests the db_store.py function to ensure proper chromadb use
[x] Setup src/index.js for /class [professor] command to connect the pipeline
NOTE: LLM is currently only able to look up the professors that are in the unit tests. Still need the API function to connect with this implementation to ensure that all professors that aren't vector stored are then scraped and saved into the DB.