Vector store optimization

Data retrieval systems like vector databases support some of the most popular design patterns for generative AI systems. A performance bottleneck in a data retrieval system can have cascading downstream effects, which are difficult to identify. A thorough understanding of data embedding and retrieval systems can help mitigate downstream performance issues. Ultimately, a thorough understanding of the kind of data being tokenized and queried, as well as data access patterns, can help reduce performance issues in the long-run.