Next Steps & Recommendations

Zoom Integration

Automate the process of handling meeting recordings:

• Direct integration with Zoom API for recording access
• Automatic processing through AWS Transcribe
• Batch ingestion system for multiple recordings

Extended Summaries

Enhance the summary generation system:

• Pre-labeled categories:
  • Achievements
  • Challenges
  • Action Items
  • Decisions Made
• Faster query response through cached common queries
• Improved context awareness across multiple meetings

Enhanced Vector DB

As the dataset grows, consider specialized vector databases:

• Weaviate: For improved semantic search capabilities
• Pinecone: For larger-scale vector operations
• Benefits:
  • Better scaling for large datasets
  • More sophisticated similarity algorithms
  • Advanced filtering capabilities

UI/UX Upgrades

Enhance the user experience with:

• Color-coded highlighting in chunk expansions:
  • Topic-based coloring
  • Sentiment indicators
  • Importance markers
• Interactive timeline view of meetings
• Advanced filtering and search options
• Customizable dashboard views

Fine-tuning Opportunities

For domain-specific improvements:

• Custom GPT Model:
  • Fine-tuned on meeting transcripts
  • Optimized for specific industry terminology
  • Reduced token usage through specialization
• Custom Embedding Model:
  • Domain-specific vector representations
  • Improved semantic matching for technical terms
  • Better handling of industry-specific acronyms

Performance Optimizations

• Caching Strategy:
  • Frequently accessed chunks
  • Common search patterns
  • Popular summaries
• Parallel Processing:
  • Distributed chunk processing
  • Batch embedding generation
  • Concurrent API calls

Note: Prioritize these improvements based on user feedback and actual usage patterns. Monitor performance metrics and cost implications when implementing new features.