LLM-Server/vendor/litellm-pgvector/prisma/schema.prisma

// This is your Prisma schema file,
// learn more about it in the docs: https://pris.ly/d/prisma-schema

generator client {
  provider = "prisma-client-py"
}

datasource db {
  provider = "postgresql"
  url      = env("DATABASE_URL")
}

model VectorStore {
  id           String   @id @default(cuid())
  name         String
  file_counts  Json?
  status       String   @default("completed")
  usage_bytes  Int?     @default(0)
  created_at   DateTime @default(now())
  expires_after Json?
  expires_at   DateTime?
  last_active_at DateTime?
  metadata     Json?
  embeddings   Embedding[]
  
  @@map("vector_stores")
}

model Embedding {
  id              String      @id @default(cuid())
  vector_store_id String
  content         String
  // 768, not OpenAI's ada-002-sized 1536 — this stack's embedding_model is
  // nomic-embed-text-v1.5 (see docker-compose.yml's embedding-server and
  // litellm-config.yaml's local-embedding entry), confirmed 768-dim live
  // against /v1/embeddings. A push with the wrong size here makes every
  // insert fail on a pgvector dimension mismatch.
  embedding       Unsupported("vector(768)")
  metadata        Json?
  created_at      DateTime    @default(now())
  
  vector_store    VectorStore @relation(fields: [vector_store_id], references: [id], onDelete: Cascade)
  
  @@map("embeddings")
}