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>
2025-09-20 15:18:00 +03:00
parent 3b375c869b
commit dd5e1102eb
14 changed files with 2082 additions and 68 deletions
--- a/app/layout.tsx
+++ b/app/layout.tsx
@@ -1,6 +1,7 @@
 import './globals.css'
 import type { Metadata } from 'next'
 import { MuiThemeProvider } from '@/components/providers/theme-provider'
+import FloatingChat from '@/components/chat/floating-chat'

 export const metadata: Metadata = {
  title: 'Ghid Biblic - Biblical Guide',
@@ -17,6 +18,7 @@ export default function RootLayout({
      <body>
        <MuiThemeProvider>
          {children}
+          <FloatingChat />
        </MuiThemeProvider>
      </body>
    </html>