RADIANT-LLM is a local-first, model-agnostic Visual-RAG for Engineering Document analysis workflows
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RADIANT-LLM (Retrieval-augmented Domain-intelligent assistant for Advanced Nuclear Technologies) is an agentic Retrieval-Augmented Generation (RAG) framework for reliable decision support in safety-critical nuclear engineering. It pairs multi-modal document ingestion (page + figure understanding) with structured knowledge bases and citation-grounded QA to reduce hallucinations and improve traceability.
Docker Hub uses
username/repository:tag. Product names are in the tag (e.g.visual-parser-1.0).
| Tag | Full name & Application |
|---|---|
1.0 | zev94/radiant-llm:1.0 — Chat UI for the system |
latest | zev94/radiant-llm:latest — Chat UI with Latest build/updates |
visual-parser-1.0 | zev94/radiant-llm:visual-parser-1.0 — PDF ingestion → JSONL knowledge bases |
visual-parser-latest | zev94/radiant-llm:visual-parser-latest — Latest visual-parser build |
Content type
Image
Digest
sha256:7175edf92…
Size
3.4 GB
Last updated
28 days ago
docker pull zev94/radiant-llm