Find Survey Insights with Qdrant and OpenAI

## Step 6. Find Groups of Similar Answers For Each Question Learn more about using the Code Node Giving all the responses to an LLM to analyse is the common but naive approach; the summarisation is usually too high level for real insights and loses a lot of detail such as the number and identity of respondants. What we want to do instead is find and group popular answers for each question to ensure all perspectives are considered. Our approach does this by mapping our answer vectors to a 2D grid and then identifying where the vector points are "clustered"; where a group of points are within close proximity to each other.