Just shipped semantic search for AI Officer 🚀
Target: <500ms P95
Actual: 36ms P95
83% top-1 accuracy, 100% cache hit rate
Using Sentence Transformers (free, local) over OpenAI:
• $0 vs $100/year
• 97% the quality
• 13.9x faster than required
Open source FTW ✨
Day 4 of building AI Officer 🚀
✅ PostgreSQL + Neo4j foundation ready
✅ 139 nodes, 79 relationships loaded
📍 Now: Embedding generation with Sentence Transformers
Using all-mpnet-base-v2 on RTX 3060:
• 768-dim vectors
• $0 cost
• 97% quality of OpenAI embeddings
