Rank #925 · on radar since 2026-07-03
ai-lakehouse
AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible file
Visit homepage ↗vector-searchlakehouseembeddingsparquet+4
Momentum
42.1
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.994 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks3 latest · 2 snapshots
github · stars24 latest · 2 snapshots