HSAAI v4.1.0 — Enterprise RAG Local Runtime

HSAAI v4.1.0

Enterprise RAG Local Runtime Update

Improvements

• Added persistent Qdrant Local support.
• Preserved production Qdrant server configuration.
• Added configurable QDRANT_MODE.
• Added configurable QDRANT_LOCAL_PATH.
• Preserved mandatory authentication.
• Improved local AI demonstration capabilities.

Verified

• Qdrant Local initialization: PASS
• Qdrant collection creation: PASS
• RAG Engine startup: PASS
• RAG Engine health endpoint: PASS
• Qdrant connectivity: PASS

Pending Verification

• Real semantic embeddings.
• Authenticated document ingestion.
• End-to-end retrieval.
• Answer grounding and source citations.

Ownership

HSAAI is an independent Enterprise AI Platform
founded and engineered by Haithim Nasher.

Submission to HSA Group does not imply ownership,
endorsement, partnership, or adoption.

HSAAI v4.0.0 — Production Release

HSAAI v4.0.0 production release built from commit 80b7806.

Validated:

• Enterprise E2E
• Production Runtime Parity
• Final Release Gate
• Clean delivery package hygiene
• Backend coverage gate
• Security validation
• Dependency vulnerability audit
• Docker build validation
• Kubernetes CI acceptance
• Production image supply chain
• Next.js critical vulnerability remediation

Artifact integrity:

• SHA-256 file included with the release.

Operational note:

• External real-cluster Kubernetes validation remains a separate operator deployment gate and has not been represented as executed.

HSAAI Enterprise AI Operating System v4.0.0-rc.2

HSAAI v4.0.0-rc.2 — Release Candidate Notes

Enterprise AI Operating System

HSAAI 4.0.0-rc.2 is the current release-candidate source for the Enterprise AI platform covering secure RAG, Agentic AI, AI agents, multi-agent orchestration, knowledge management, knowledge graphs, workflow automation, AI governance, LLMOps/MLOps, DevSecOps, and Kubernetes-oriented deployment.

Verified Automated Status

• ✅ GitHub Quality Gates: 6/6 successful
• ✅ Full Backend Coverage: PASS
• ✅ Python Coverage: 80.43%
• ✅ Required Coverage Threshold: ≥80%
• ✅ Docker Build Validation
• ✅ Production Dependency Audits
• ✅ Continuous Integration
• ✅ Security Validation

Coverage

• 17,302 executable Python statements
• 13,916 covered
• 3,386 missing
• +74 statements above the required 80% covered-statement count

Release Classification

Production Candidate

This is intentionally a release candidate.

Final production approval requires real Kubernetes and complete enterprise-runtime acceptance, authenticated E2E, production secrets/TLS/network controls, persistent-storage recovery, backup/disaster recovery, and final operational acceptance.

Discoverability & Documentation

The v4 documentation emphasizes:

• Enterprise AI
• Secure Retrieval-Augmented Generation
• Agentic AI
• AI Agents
• Multi-Agent Systems
• Knowledge Management
• Knowledge Graphs
• LLM Gateway
• Workflow Automation
• AI Governance
• LLMOps
• MLOps
• DevSecOps
• Kubernetes
• Enterprise Observability

HSAAI Enterprise AI Operating System v3.0.0

Enterprise AI Platform Release