This week was the first planned sprint of the project. The main goal for this sprint was to create a demo of the system flow using generated dummy data following the flowchart above.

We have created a solution for downloading, structuring, and embedding data in a database. We then read from the data base to extract context relevant to the query and then send this context along with the query to the gpt-3.5-turbo model to form an appropriate answer. The current ways of interacting with the bot is through a slack bot or through a rudimentary standalone application.