Files
biblical-guide.com/AI_CHAT_VERIFICATION_FINDINGS.md
Andrei 79f1512f3a 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>
2025-10-10 22:38:19 +00:00

9.8 KiB

AI Chat System Verification Findings

Date: 2025-10-10 Status: 🟡 Partially Operational - Configuration Issue Found

Executive Summary

The AI chat vector database is fully operational with 116 Bible versions across 47 languages, all with complete embeddings. However, there is a critical configuration issue with the Azure OpenAI API deployments that prevents the chat from functioning.


What's Working

1. Vector Database Infrastructure (100% Operational)

  • Database Connection: PostgreSQL 17.5 ✓
  • pgvector Extension: v0.8.0 installed ✓
  • Schema: ai_bible schema exists ✓

2. Bible Vector Tables (116 Tables - Fully Populated)

Metric Value
Total Vector Tables 116
Languages Supported 47
Embedding Coverage 100% for all tables
Table Structure Correct (all have embedding, tsv, ref, text_raw, etc.)

Sample Table Statistics:

  • bv_ab_aau: 7,923 verses (100% embedded)
  • bv_ac_aca: 4,406 verses (100% embedded)
  • bv_ac_acr_acc: 7,930 verses (100% embedded)

3. Languages Available

The system currently supports 47 languages including:

  • English (en): 9 versions (ASV, Brenton, KJV, KJV2006, LXX2012, RV, T4T, UK_LXX2012, WEB_C)
  • German (de): 2 versions
  • Dutch (nl): 3 versions
  • French (fr): 1 version
  • And 43+ other languages

Note: User requested support for Romanian (ro), Spanish (es), and Italian (it) but these languages are NOT found in the vector database. This is a critical gap.

4. Current Vector Search Implementation

The existing code in /root/biblical-guide/lib/vector-search.ts already implements:

  • Multi-table search across all versions for a given language
  • Hybrid search (vector + full-text)
  • Language-based table filtering
  • Proper query pattern: bv_{lang}_{version}

What's Broken

1. Azure OpenAI API Configuration (CRITICAL)

Problem: The deployment names in .env.local do not exist in the Azure OpenAI resource.

Environment Variables:

AZURE_OPENAI_DEPLOYMENT=gpt-4o  # ❌ Deployment NOT FOUND (404)
AZURE_OPENAI_EMBED_DEPLOYMENT=embed-3  # ❌ Deployment NOT FOUND (404)

Error Message:

DeploymentNotFound: The API deployment for this resource does not exist.

Impact:

  • Chat API cannot generate responses
  • Embedding generation fails
  • Vector search cannot create query embeddings

2. Missing Priority Languages

User Requirements: Romanian (ro), Spanish (es), Italian (it)

Current Status:

  • Romanian (ro): NOT in vector database
  • Spanish (es): NOT in vector database
  • Italian (it): NOT in vector database

Available Languages: The current 47 languages are mostly obscure languages (ab, ac, ad, ag, etc.) and do NOT include the user's priority languages.


🔧 Required Fixes

Priority 1: Fix Azure OpenAI Deployments (IMMEDIATE)

Action Required:

  1. Identify the correct deployment names in the Azure OpenAI resource
  2. Update .env.local with correct values:
    • AZURE_OPENAI_DEPLOYMENT=<actual-chat-deployment-name>
    • AZURE_OPENAI_EMBED_DEPLOYMENT=<actual-embedding-deployment-name>

Options to Find Correct Deployment Names:

  • Option A: Check Azure Portal → Azure OpenAI → Deployments
  • Option B: Contact Azure admin who created the resource
  • Option C: Check deployment history/documentation

Expected Deployment Patterns:

  • Chat: Usually named like gpt-4, gpt-4-32k, gpt-35-turbo, etc.
  • Embeddings: Usually named like text-embedding-ada-002, text-embedding-3-small, etc.

Priority 2: Add Priority Language Vector Tables (HIGH)

Missing Tables Needed:

-- Romanian versions
ai_bible.bv_ro_cornilescu    (Cornilescu Bible)
ai_bible.bv_ro_fidela        (Fidela Bible - mentioned in BIBLE_MD_PATH)

-- Spanish versions
ai_bible.bv_es_rvr1960       (Reina-Valera 1960)
ai_bible.bv_es_nvi           (Nueva Versión Internacional)

-- Italian versions
ai_bible.bv_it_nuovadiodati  (Nuova Diodati)
ai_bible.bv_it_nuovariveduta (Nuova Riveduta)

Action Required:

  1. Verify if these Bible versions exist in source data
  2. Create embeddings for each version
  3. Import into ai_bible schema with proper naming

Priority 3: Implement English Fallback (MEDIUM)

Current Behavior:

  • Search only looks in language-specific tables (e.g., only bv_ro_* for Romanian)
  • If language not found, returns empty results

Required Behavior:

  1. Search in primary language tables first
  2. Check result quality (min 3 results, top similarity > 0.75)
  3. If insufficient → fallback to English (bv_en_* tables)
  4. Return combined results with language indicators

Implementation: Already planned in /root/biblical-guide/AI_CHAT_FIX_PLAN.md


📊 Current System Architecture

Vector Search Flow (Working)

User Query
    ↓
getEmbedding(query)  ❌ FAILS HERE - Deployment Not Found
    ↓
searchBibleHybrid(query, language, limit)
    ↓
getAllVectorTables(language)  ✓ Returns tables like ["ai_bible.bv_en_eng_kjv", ...]
    ↓
For each table:
    - Vector similarity search (embedding <=> query)
    - Full-text search (tsv @@ plainto_tsquery)
    - Combine scores (0.7 * vector + 0.3 * text)
    ↓
Sort by combined_score and return top results

Chat API Flow (Partially Working)

User Message
    ↓
[Auth Check] ✓ Working
    ↓
[Conversation Management] ✓ Working
    ↓
generateBiblicalResponse(message, locale, history)
    ↓
searchBibleHybrid(message, locale, 5)  ❌ FAILS - Embedding API 404
    ↓
[Build Context with Verses] ✓ Would work if embeddings worked
    ↓
[Call Azure OpenAI Chat API] ❌ FAILS - Chat API 404
    ↓
[Save to Database] ✓ Working

🎯 Implementation Plan

Phase 1: Fix Azure OpenAI (Day 1 - URGENT)

  1. Identify Correct Deployments

    • Check Azure Portal
    • List all available deployments in the resource
    • Document deployment names and models
  2. Update Environment Configuration

    • Update .env.local with correct deployment names
    • Verify API version compatibility
    • Test connection with verification script
  3. Validate Fix

    • Run npx tsx scripts/verify-ai-system.ts
    • Confirm both Chat API and Embedding API pass
    • Test end-to-end chat flow

Phase 2: Add Priority Languages (Days 2-3)

  1. Romanian (ro)

    • Source Bible data for Cornilescu and Fidela versions
    • Create embeddings using Azure OpenAI
    • Import into ai_bible.bv_ro_cornilescu and ai_bible.bv_ro_fidela
  2. Spanish (es)

    • Source Bible data for RVR1960 and NVI
    • Create embeddings
    • Import into respective tables
  3. Italian (it)

    • Source Bible data for Nuova Diodati and Nuova Riveduta
    • Create embeddings
    • Import into respective tables

Phase 3: Implement Fallback Logic (Day 4)

  1. Update searchBibleHybrid Function

    • Add quality check logic
    • Implement English fallback
    • Add language indicators to results
  2. Update Chat API Response

    • Include source language in citations
    • Inform user when fallback was used
    • Format: [KJV - English fallback] John 3:16

Phase 4: Testing (Day 5)

  1. Test Each Language

    • Romanian queries → Romanian results
    • Spanish queries → Spanish results
    • Italian queries → Italian results
    • Unsupported language → English fallback
  2. Test Edge Cases

    • Empty results handling
    • Mixed language queries
    • Very specific vs. general queries
  3. Performance Testing

    • Query response time (target < 2s)
    • Multi-table search performance
    • Concurrent user handling

📝 Next Steps

Immediate Actions (Today)

  1. Run verification script (COMPLETED)
  2. Document findings (COMPLETED)
  3. 🔲 Fix Azure OpenAI deployment configuration
    • Identify correct deployment names
    • Update .env.local
    • Re-run verification script

Short-term Actions (This Week)

  1. 🔲 Source Romanian Bible data (Cornilescu, Fidela)
  2. 🔲 Source Spanish Bible data (RVR1960, NVI)
  3. 🔲 Source Italian Bible data (Nuova Diodati, Nuova Riveduta)
  4. 🔲 Create embeddings for all priority language versions
  5. 🔲 Import into vector database

Medium-term Actions (Next 2 Weeks)

  1. 🔲 Implement English fallback logic
  2. 🔲 Add version metadata table (bible_version_config)
  3. 🔲 Create comprehensive test suite
  4. 🔲 Monitor performance and optimize queries

🚨 Critical Blockers

  1. Azure OpenAI Deployment Names (Blocking ALL functionality)

    • Cannot generate embeddings
    • Cannot generate chat responses
    • Need Azure admin access to resolve
  2. Missing Priority Languages (Blocking user requirements)

    • Romanian not available
    • Spanish not available
    • Italian not available
    • Need Bible data sources and embeddings pipeline

📈 Success Metrics

Current Status:

  • Database: 100%
  • API Configuration: 0%
  • Language Support: 0% (for priority languages)
  • ⚠️ Code Implementation: 80% (search logic exists, just needs API fix)

Target Status:

  • Database: 100%
  • API Configuration: 100%
  • Language Support: 100% (ro, es, it, en)
  • Code Implementation: 100%

📚 Reference Documents

  • /root/biblical-guide/AI_CHAT_FIX_PLAN.md - Original implementation plan
  • /root/biblical-guide/scripts/verify-ai-system.ts - Verification script
  • /root/biblical-guide/lib/vector-search.ts - Current search implementation
  • /root/biblical-guide/app/api/chat/route.ts - Chat API implementation

Contact & Support

Azure OpenAI Resource:

  • Endpoint: https://azureopenaiinstant.openai.azure.com
  • API Version: 2024-05-01-preview
  • Action Needed: Verify deployment names in Azure Portal

Vector Database:

  • Host: 10.0.0.207:5432
  • Database: biblical-guide
  • Schema: ai_bible
  • Status: Fully Operational