The author discusses the problem of losing valuable content from Meetup events and how similarity search techniques can be used to address this issue. They introduce Milvus, an open-source vector database that excels in managing complex data landscapes, and SentenceTransformers, a Python framework for generating text embeddings. The author demonstrates how to use these tools to create a system that searches for similar content within Meetup descriptions. By using OpenAI GPT-3.5-turbo to summarize the content of Meetups, they aim to improve search results by reducing noise in event descriptions.