Zumbi Matrix
High-availability vector and graph fabric for intelligent systems. Unified embeddings, cross-modal retrieval, lineage-aware features, and governance-ready observability.
Cross-Modal Search
Lineage & Quality
Low-Latency
Policy-Aware
Overview
Zumbi Matrix provides a resilient data plane for AI systems that need fast similarity search and relationship reasoning. It blends a distributed vector index with a policy-aware graph layer, delivering consistent retrieval, feature lineage, and auditability across modalities.
Purpose
Unify embeddings and relationships for reliable AI retrieval and routing.
Primary Users
ML platforms, RAG teams, data engineers, applied research.
Key Outcomes
Lower latency, higher precision, verifiable feature provenance.
Core Capabilities
Hybrid Index. ANN vector search fused with graph traversal for context-aware recall.
Cross-Modal Store. Text, image, audio, and tabular embeddings with shared IDs.
Feature Lineage. Versioned pipelines, schema diffs, and provenance trails.
Adaptive Sharding. Hot partition detection and automatic rebalancing.
Policy Controls. Row-level and relationship-level authorization with OIDC.
Latency Budgets. SLO-aware query planner with fallback and caching tiers.
Consistency Modes. Read-your-writes, bounded staleness, or async refresh.
Observability. Traces with query plans, hit attribution, and drift monitors.
Architecture
Ingest Plane
Batch + streaming embedding pipelines with validation and dedupe.
Index Plane
Vector shards, proximity graphs, and tiered caches.
Query Plane
Planner combines ANN + graph walks with policy checks.
Security & Data Quality
Defense in Depth. mTLS, envelope encryption, scoped tokens, signed artifacts.
Access Graph. Per-edge and per-feature policies with verifiable logs.
De-ID & Retention. Privacy controls with TTL and selective redaction.
Quality Gates. Drift, skew, and parity checks on embeddings and edges.
Golden Sets. Benchmark suites for recall@k and latency SLOs.
Export. SIEM and lineage catalog integrations.
Documentation & Access
Controlled Release. SDKs, connectors, and migration guides for partners.
Engagement. We co-design SLOs, retention policies, and retrieval targets.
Retrieve With Confidence
Zumbi Matrix powers fast, accurate, and auditable AI retrieval across modalities.