- Authentication: Add JWT or OAuth2 authentication for API access
- Multi-tenancy: Support multiple users/organizations with isolated document stores
- Audit logging: Track document uploads, queries, and user actions
- Async processing: Queue document processing for large files
- Caching: Add Redis caching for frequent queries
- Horizontal scaling: Support multiple worker instances with shared vector store
- Hybrid search: Combine vector similarity with keyword search (BM25)
- Re-ranking: Add cross-encoder re-ranking for improved retrieval
- Query routing: Route queries to specialized agents based on intent
- Structured extraction: Extract structured data (rates, terms, fees) from documents
- Streaming responses: Stream LLM responses for better perceived latency
- Feedback loop: Allow users to rate responses for continuous improvement
- Export functionality: Export comparisons and checklists as PDF
- Webhook notifications: Notify when document processing completes
- Metrics: Add Prometheus metrics for request latency, token usage
- Tracing: Integrate OpenTelemetry for distributed tracing
- Logfire integration: Use pydantic-ai's Logfire for LLM observability
- Document versioning: Track document versions and changes over time
- Batch operations: Support bulk document upload and processing
- Data retention policies: Auto-delete documents after configurable period