Vector Tuning
5 Chapters • Self-paced
Vector DB Optimization & Indexing
Tune HNSW proximity indices, compare IVF graph lookup speeds, and cache embeddings on consumer devices.
Course Syllabus
1
Study Lesson
1. Proximity HNSW Index Configuration Blueprints
Focus: Comparing hnsw vs ivf index performance in enterprise scale databases
2
Study Lesson
2. SQLite Vector Cache Tables for Small Projects
Focus: Best open-source vector database setup for small hobby projects
3
Study Lesson
3. Graph vs Coordinate Latency Comparisons
Focus: Comparing performance benchmarks of graph databases vs vector networks for rag
4
Study Lesson
4. Edge Device Sub-Millisecond Vector Scan Speeds
Focus: Best open-source vector databases for sub-millisecond edge lookups
5
Study Lesson
5. Embeddings Latency Performance on NVMe Storages
Focus: Comparing embedding latency profiles across local nvme storage clusters
AI