Zep uses Postgres and pgvector for database operations and vector search. Vector search can be complicated on Postgres, with careful configuration required at both index creation and query time. We've focused on significantly improving this developer experience.

Zep automatically selects index and query parameters for developers based on best practices and known heuristics. Vector database operations are exposed via a simple Python (and LangChain) API for working with document collections, documents, and search results.

While we focus on LLM App use cases, you can turn any Postgres instance with pgvector into a vector database with great DX.

Our launch announcement: https://blog.getzep.com/introducing-the-zep-document-vector-...

-Daniel