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SENTINEL AI

OSS as strength

Open Ecosystem

SENTINEL is designed to use open-weight models and open-source infrastructure responsibly, with license and provenance checks before production use.

Model serving

Ollama, vLLM, local gateways, and OpenAI-compatible profiles can support deploy-anywhere runtime choices.

Retrieval

Qdrant, embeddings, rerankers, parsers, and source manifests support grounded answers.

Legal plumbing

Citation parsers, official source connectors, and authority verification matter more than raw model prose.

Image and vision

ComfyUI-style workflows, OCR, multimodal models, and provenance layers expand visual work.

Security tooling

SBOM, scanner, secret detection, signing, and release evidence make the stack reviewable.

Attribution

Credits and license labels are public-facing parts of responsible OSS adoption.

Open by designThe stack should be transparent about what it uses and what still requires review.
License-awarePermissive, reciprocal, gated, and commercial terms must be segregated before production use.