Problem: Advancements in semantic understanding of unstructured data created a treasure trove of meaningful data. But traditional databases cannot efficiently store and query them.
Solution: Vector databases specialize in storing high-dimensional vectors, providing efficient querying mechanisms.
Problem: Syscalls are expensive…
Solution: An I/O model that works uniformly across all file types (!) that provides a general-purpose syscall batching mechanism, which cuts down on context switches and syscalls.
Problem: It’s hard and bug-prone to share API endpoints (including types) between our server and client.
Solution: tRPC leverages TypeScript to share types between the server and client without code generation or schemas.
Problem: It’s very hard to have visibility into your dependencies and mitigate software supply chain attacks.
Solution: A standardized, machine-readable list of components that make up your software.
Problem: No-code solutions are bad at handling edge cases, but we still want a fast development cycle.
Solution: Take the best aspects of no-code, and sprinkle code where needed to address edge cases and complex needs.
