The talk is about building a database in Go and the challenges that come with it. The speaker discusses the need for a database that combines machine learning models with traditional databases to search for information based on meaning rather than keywords. They explain the importance of optimizing memory allocations and the use of SIMD instructions for faster processing. The speaker also demonstrates a live demo of using the database for semantic searches and AI generation. Overall, the speaker concludes that while building a database in Go may present unique challenges, it is a feasible and rewarding endeavor.