Add-on: Docling Legal Chunk + Embed

Use this skill when a project needs legal-focused document ingestion from PDF into markdown/chunks suitable for retrieval and downstream clause reasoning.

Compatibility

• Works with architect-python-uv-batch.
• Works with architect-python-uv-fastapi-sqlalchemy (worker or async job path).
• Commonly paired with addon-rag-ingestion-pipeline.

Inputs

Collect:

• LEGAL_SOURCE_DIR: default data/inbox/legal.
• CLAUSE_MAX_CHARS: default 1400.
• CLAUSE_OVERLAP_CHARS: default 120.
• EMBED_PROVIDER: sentence-transformers | openai.
• OUTPUT_MODE: markdown+json (default) | json-only.