When you’re building an application that contains a lot of documents or records, search can get more complicated than it seems at first. Turbopuffer supports both keyword and vector search, which lets developers create experiences where users can find results either by exact terms or by the meaning behind their query. I also find its filtering options helpful, since they make it easier to narrow results using attributes like categories or other stored metadata—something that matters when search needs to work reliably inside a real application. Review collected by and hosted on G2.com.

I’d recommend spending some time testing it with your real application workload before committing, since search latency and write behaviour can vary a lot depending on the specific use case. There’s also a learning curve in setting up the schema and getting the search queries right, especially if you’re combining multiple search methods. Review collected by and hosted on G2.com.