RepoGuardian RHD Enterprise Preview
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RepoGuardian RHD Enterprise Preview
Implemented
- RHD repository review, issue intelligence, review queue, human approval, and audit trail.
- Agentic RAG v2 foundation with query planning, hybrid retrieval, evidence fusion, critic, and objective retrieval metrics.
- Shared RHD Tool Registry used by REST and MCP.
- MCP stdio server with tools, resources, prompts, and smoke tests.
- Managed-cloud deployment profile for Vercel-compatible frontend and Render-compatible FastAPI backend.
- Provider-neutral PostgreSQL configuration with pgvector readiness checks.
- Model Gateway with validated local Ollama adapter and deterministic fallback.
Validated
- Backend pytest suite.
- Frontend lint, typecheck, production build, and Playwright route checks.
- MCP TypeScript typecheck and stdio client smoke test.
- Terraform syntax validation without apply.
Optional
- Groq, OpenRouter, OpenAI, managed PostgreSQL, pgvector, Redis, and GitHub App credentials.
Experimental / Partial
- Durable Postgres queue worker activation requires a live managed PostgreSQL deployment.
- Code-RAG and Graph-RAG have foundations; production graph/vector infrastructure is not connected.
- Remote MCP over Streamable HTTP remains roadmap until auth and rate limiting are configured.
Not Yet Trained
- ML/DL model training requires a defensible labeled dataset. No fake metrics are claimed.
Known Limits
- Docker is not required for managed-cloud deployment and was not available on the local machine.
- Production is not marked validated until user-owned infrastructure is deployed and tested.