feat: Apple-style donation-focused landing page + Azure OpenAI fixes
Major updates: - Replace homepage with clean, minimalist Apple-style landing page - Focus on donation messaging and mission statement - Add comprehensive AI chat analysis documentation - Fix Azure OpenAI configuration with correct endpoints - Update embedding API to use text-embedding-ada-002 (1536 dims) Landing Page Features: - Hero section with tagline "Every Scripture. Every Language. Forever Free" - Mission statement emphasizing free access - Matthew 10:8 verse highlight - 6 feature cards (Global Library, Multilingual, Prayer Wall, AI Chat, Privacy, Offline) - Donation CTA sections with PayPal and card options - "Why It Matters" section with dark background - Clean footer with navigation links Technical Changes: - Updated .env.local with new Azure credentials - Fixed vector-search.ts to support separate embed API version - Integrated AuthModal into Bible reader and prayers page - Made prayer filters collapsible and mobile-responsive - Changed language picker to single-select Documentation Created: - AI_CHAT_FIX_PLAN.md - Comprehensive implementation plan - AI_CHAT_VERIFICATION_FINDINGS.md - Database analysis - AI_CHAT_ANALYSIS_SUMMARY.md - Executive summary - AI_CHAT_STATUS_UPDATE.md - Current status and next steps - logo.svg - App logo (MenuBook icon) Build: ✅ Successful (Next.js 15.5.3) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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AI_CHAT_STATUS_UPDATE.md
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AI_CHAT_STATUS_UPDATE.md
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# AI Chat System - Status Update
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**Date:** 2025-10-10
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**Status:** ✅ Azure OpenAI Fixed | ⚠️ Need New Vector Tables
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---
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## 🎉 GOOD NEWS: Azure OpenAI is Working!
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### ✅ What We Fixed
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Both Azure OpenAI APIs are now **fully operational**:
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| API | Status | Details |
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|-----|--------|---------|
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| **Chat API** | ✅ WORKING | GPT-4o responding correctly |
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| **Embedding API** | ✅ WORKING | text-embedding-ada-002 generating 1536-dim vectors |
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**Updated Configuration:**
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```bash
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AZURE_OPENAI_ENDPOINT=https://footprints-ai.openai.azure.com
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AZURE_OPENAI_KEY=42702a67a41547919877a2ab8e4837f9
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# Chat
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AZURE_OPENAI_DEPLOYMENT=gpt-4o
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AZURE_OPENAI_API_VERSION=2025-01-01-preview
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# Embeddings
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AZURE_OPENAI_EMBED_DEPLOYMENT=Text-Embedding-ada-002-V2
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AZURE_OPENAI_EMBED_API_VERSION=2023-05-15
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EMBED_DIMS=1536
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```
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---
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## ⚠️ CRITICAL ISSUE: Embedding Dimension Mismatch
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### The Problem
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- **Existing 116 vector tables:** 4096-dimensional embeddings
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- **Our embedding model (ada-002):** 1536-dimensional embeddings
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- **Result:** **Cannot use existing tables** ❌
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### What This Means
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The 116 Bible versions currently in the database were created with a **different embedding model** (likely text-embedding-3-large with 4096 dims). We cannot search them with our 1536-dim embeddings because the dimensions must match exactly.
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### The Solution
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Create **new vector tables** for your priority languages with **1536-dim embeddings**:
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1. ✅ **English** - Use existing Bible data (KJV, ASV, etc.)
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2. ❌ **Romanian** - Need Bible source data
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3. ❌ **Spanish** - Need Bible source data
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4. ❌ **Italian** - Need Bible source data
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---
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## 📋 What We Need To Do Next
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### Option 1: Create New 1536-Dim Tables (RECOMMENDED)
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**Pros:**
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- ✅ Works with our current Azure setup
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- ✅ Lower cost (ada-002 is cheaper than 3-large)
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- ✅ Faster searches (smaller vectors)
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- ✅ Sufficient quality for Bible search
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**Steps:**
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1. Find/prepare Bible source data for each language
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2. Generate 1536-dim embeddings using our ada-002 deployment
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3. Create new tables: `bv_1536_ro_cornilescu`, `bv_1536_es_rvr1960`, etc.
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4. Import embeddings into new tables
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5. Update search logic to use new tables
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### Option 2: Use Different Embedding Model (Not Recommended)
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Deploy text-embedding-3-large (4096-dim) to match existing tables.
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**Cons:**
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- ❌ Higher cost
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- ❌ Slower searches
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- ❌ Requires Azure deployment changes
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- ❌ Still missing Romanian/Spanish/Italian in existing tables
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---
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## 🗂️ Bible Source Data Status
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### What We Have
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✅ **Romanian (Fidela):** `/bibles/Biblia-Fidela-limba-romana.md`
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- Ready to process!
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- Can generate embeddings immediately
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### What We Need
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❌ **Romanian (Cornilescu):** Most popular Romanian version
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- Need to source this Bible translation
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- Options: Bible Gateway API, online sources, existing files
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❌ **Spanish (RVR1960):** Most popular Spanish version
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- Reina-Valera 1960
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- Need to source
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❌ **Italian (Nuova Diodati):** Popular Italian version
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- Need to source
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❌ **English versions:** KJV, ASV, NIV, etc.
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- Can source from Bible Gateway, bible.org, or similar
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---
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## 🚀 Recommended Next Steps
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### Immediate (Today)
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1. **Test the chat system** with a simple fallback:
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- Temporarily disable vector search
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- Have chat work without Bible verse context
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- Verify end-to-end flow is working
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2. **Process Romanian Fidela Bible:**
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- Read `/bibles/Biblia-Fidela-limba-romana.md`
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- Parse into verse-by-verse format
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- Generate embeddings using ada-002
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- Create table `ai_bible.bv_1536_ro_fidela`
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- Import data
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### Short-term (This Week)
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3. **Source English Bible data:**
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- Download KJV (public domain)
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- Parse and generate embeddings
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- Create table `ai_bible.bv_1536_en_kjv`
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4. **Source Romanian Cornilescu:**
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- Find public domain source
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- Parse and generate embeddings
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- Create table `ai_bible.bv_1536_ro_cornilescu`
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5. **Source Spanish RVR1960:**
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- Find public domain source
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- Parse and generate embeddings
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- Create table `ai_bible.bv_1536_es_rvr1960`
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6. **Source Italian Nuova Diodati:**
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- Find source
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- Parse and generate embeddings
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- Create table `ai_bible.bv_1536_it_nuovadiodati`
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### Medium-term (Next 2 Weeks)
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7. **Implement English Fallback Logic:**
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- Search primary language first
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- Fall back to English if results are poor
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- Add language indicators in citations
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8. **Create Version Metadata Table:**
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- Track which versions are available
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- Map versions to languages
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- Enable smart version selection
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9. **Testing & Optimization:**
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- Test all 4 languages
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- Optimize query performance
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- Add monitoring
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---
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## 📊 Database Schema for New Tables
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### Table Naming Convention
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```
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ai_bible.bv_1536_{language}_{version}
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Examples:
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- ai_bible.bv_1536_en_kjv
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- ai_bible.bv_1536_ro_fidela
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- ai_bible.bv_1536_ro_cornilescu
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- ai_bible.bv_1536_es_rvr1960
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- ai_bible.bv_1536_it_nuovadiodati
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```
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### Table Structure
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```sql
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CREATE TABLE ai_bible.bv_1536_ro_fidela (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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testament TEXT NOT NULL, -- 'OT' or 'NT'
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book TEXT NOT NULL,
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chapter INTEGER NOT NULL,
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verse INTEGER NOT NULL,
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language TEXT NOT NULL, -- 'ro'
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translation TEXT NOT NULL, -- 'FIDELA'
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ref TEXT NOT NULL, -- 'Genesis 1:1'
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text_raw TEXT NOT NULL, -- Original verse text
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text_norm TEXT, -- Normalized for search
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tsv TSVECTOR, -- Full-text search index
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embedding VECTOR(1536), -- 1536-dimensional embedding
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created_at TIMESTAMPTZ DEFAULT NOW(),
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updated_at TIMESTAMPTZ DEFAULT NOW()
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);
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-- Create indexes
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CREATE INDEX idx_bv_1536_ro_fidela_ref ON ai_bible.bv_1536_ro_fidela(ref);
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CREATE INDEX idx_bv_1536_ro_fidela_book_chapter ON ai_bible.bv_1536_ro_fidela(book, chapter);
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CREATE INDEX idx_bv_1536_ro_fidela_tsv ON ai_bible.bv_1536_ro_fidela USING gin(tsv);
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CREATE INDEX idx_bv_1536_ro_fidela_embedding ON ai_bible.bv_1536_ro_fidela
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USING ivfflat (embedding vector_cosine_ops) WITH (lists = 100);
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```
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---
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## 🛠️ Implementation Script Needed
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We need a script to:
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1. **Parse Bible source file** (Markdown, JSON, CSV, etc.)
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2. **Generate embeddings** for each verse
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3. **Create table** if not exists
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4. **Insert verses** with embeddings
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5. **Create indexes**
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**Example workflow:**
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```bash
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# Process Romanian Fidela Bible
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npx tsx scripts/import-bible.ts \
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--source ./bibles/Biblia-Fidela-limba-romana.md \
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--language ro \
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--translation FIDELA \
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--table bv_1536_ro_fidela
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```
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---
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## 💡 Quick Test - Chat Without Vector Search
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To verify the chat system works end-to-end, we can temporarily:
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1. Modify chat API to skip vector search
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2. Test chat with general biblical knowledge (GPT-4o has Bible knowledge)
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3. Verify authentication, conversation saving, and UI work
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4. Then add vector search back once tables are ready
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**Would you like me to:**
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- ❓ Test chat without vector search first?
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- ❓ Start processing the Romanian Fidela Bible?
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- ❓ Create the Bible import script?
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- ❓ Something else?
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---
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## 📄 Files Updated
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| File | Status | Purpose |
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|------|--------|---------|
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| `.env.local` | ✅ Updated | New Azure credentials, 1536 dims |
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| `lib/vector-search.ts` | ✅ Updated | Support separate embed API version |
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| `scripts/test-azure-quick.ts` | ✅ Created | Quick API testing |
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| `AI_CHAT_STATUS_UPDATE.md` | ✅ Created | This document |
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---
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## ✅ Summary
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**What's Working:**
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- ✅ Azure OpenAI Chat (GPT-4o)
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- ✅ Azure OpenAI Embeddings (ada-002, 1536-dim)
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- ✅ Database connection
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- ✅ pgvector extension
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- ✅ Search code (just needs right tables)
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**What's Blocked:**
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- ❌ Cannot use existing 116 tables (4096-dim vs 1536-dim mismatch)
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- ❌ Need new vector tables for Romanian/Spanish/Italian/English
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- ❌ Need Bible source data for Spanish and Italian
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**Next Decision Point:**
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Choose what to do next:
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1. Test chat system without vector search (quick validation)
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2. Start creating vector tables with Fidela Romanian Bible (first language)
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3. Source and process English KJV (for fallback)
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4. All of the above in parallel
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**Your call!** 🚀
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