VectorBridge Pro v1.0.2
Embedding pipeline and vector store bridge with schema hydration.
What this is
Takes documents in, keeps a Postgres schema hydrated with embeddings, and answers nearest-neighbour queries without a separate vector database. Batch reindexing included and it does not fall over halfway through.
Technical fingerprint
REF VECTORDB-PROTrust lattice
77
Composite of 6 weighted axes. The list beside this holds every figure and its evidence.
Trust lattice · click a column to pin
6 axes
Composite trust
Height = measurement · width = weight · colour = state
77
Weighted axes
negotiate: Certification
Composite is the weighted mean of the axes above. Recompute it by hand if you want to — the inputs are all on this page.
Dependency surface
Surface view unavailable on this device. The table holds the same figures — install weight, advisory count, and fan-out per package.
Dependency surface · drag to orbit
36.2 MB installed
Radius = install weight · colour = advisory risk · distance = transitive fan-out
6 direct packages
2 flagged
Clean-room rebuild probe
Clone, install, scan, build, boot — outside the tool it was written in.
0% of pipeline weight
No probe on record for this build yet. Run it and the six stages report individually — a committed key or a build that only works inside the original generator shows up here, before escrow funds move.
Commit provenance · 26 weeks
26 active weeks
Distributed history across 26 weeks. Green bars had more than one author.
Run cost at volume
$99.00 /mo
- Managed Postgresfixed$19.00
detected via DATABASE_URL · $19 per mo
- Embeddings APImetered$80.00
detected via OPENAI_API_KEY · $1.6 per 1k req
At this volume the purchase price equals 12.6 months of infrastructure. Rates are list price for the detected services, before egress.
Demo
Live query playground against a 20k-document corpus.