Implement Azure OpenAI vector embeddings for Romanian Bible

- Add pgvector support with bible_passages table for vector search
- Create Python ingestion script for Azure OpenAI embed-3 embeddings
- Implement hybrid search combining vector similarity and full-text search
- Update AI chat to use vector search with Azure OpenAI gpt-4o
- Add floating chat component with Material UI design
- Import complete Romanian Bible (FIDELA) with 30K+ verses
- Add vector search library for semantic Bible search
- Create multi-language implementation plan for future expansion

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

prisma/schema.prisma

@@ -78,6 +78,26 @@ model BibleVerse {
   @@index([version])
 }
 
+model BiblePassage {
+  id          String   @id @default(uuid())
+  testament   String   // 'OT' or 'NT'
+  book        String
+  chapter     Int
+  verse       Int
+  ref         String   // Generated field: "book chapter:verse"
+  lang        String   @default("ro")
+  translation String   @default("FIDELA")
+  textRaw     String   @db.Text
+  textNorm    String   @db.Text // Normalized text for embedding
+  embedding   Unsupported("vector(3072)")?
+  createdAt   DateTime @default(now())
+  updatedAt   DateTime @updatedAt
+
+  @@unique([translation, lang, book, chapter, verse])
+  @@index([book, chapter])
+  @@index([testament])
+}
+
 model ChatMessage {
   id          String   @id @default(uuid())
   userId      String