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🚀 Phoenix Rooivalk: Revolutionary SAE Level 4 Autonomous Counter-UAS Defense Platform
Phoenix Rooivalk
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Table of Contents
Scale Assessment
Current State
Corpus Characteristics
Options Evaluated
Option 1: Azure AI Search
Option 2: Firebase Vector Search Extension
Option 3: Pinecone
Option 4: Qdrant
Option 5: Weaviate
Option 6: Supabase pgvector
Option 7: Keep Current (Firestore + In-Memory)
Weighted Decision Matrix
Criteria Weights
Scoring Legend
Detailed Scoring Matrix
Final Weighted Scores
Azure Deployment Alternatives
1. Azure AI Search (Managed Service) —
Recommended
2. Azure Container Apps + Qdrant/Milvus
3. Azure Kubernetes Service (AKS) + Helm
4. Azure Cosmos DB MongoDB vCore (Vector Preview)
5. Azure PostgreSQL + pgvector
6. Azure OpenAI Assistants API
Azure Deployment Comparison
Cost Model (2-Year Projection)
Scenario A: Azure Credits Continue
Scenario B: Azure Credits Expire (Year 2)
Break-Even Analysis
Performance Benchmarks
Expected Query Latencies
Cross-Cloud Latency Impact
Why Hybrid Search Matters
Phoenix Rooivalk Documentation Characteristics
Semantic-Only Limitations
Why Only Azure AI Search Has This
Feature Comparison
Risk Assessment
Risk Matrix
Failure Isolation
Export Strategy
Vendor Lock-in Mitigation
Migration Path (if needed)
Conclusion