The InfluxData team has introduced a new indexing mechanism for InfluxDB called Time Series Index (TSI), designed to optimize RAM usage saturation for larger datasets. This feature aims to support hundreds of millions and eventually billions of data points, expanding the database's capability beyond its current limits. The TSI storage engine allows users to have millions of unique time series without being affected by memory constraints, providing a significant technical advancement in the database since the introduction of the Time Series Merge Tree (TSM) storage engine in 2016. By converting from TSM to TSI indexing, InfluxDB can improve performance and reduce memory problems, making it more suitable for large-scale applications. The conversion process involves five steps, including stopping the container, starting it with a specific environment variable, running the conversion command, exiting and removing the container, and finally starting the container without the entrypoint flag to verify the successful change.