The company has crossed $100 million in annual recurring revenue as enterprises clean up their data to train AI models.

Currently, when a user asks natural language questions over custom data sources, two main approaches come into play: text-to-SQL or retrieval-augmented generation (RAG).

There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.