Add-on: Multi-Format RAG Ingestion Pipeline

Use this skill when an existing project needs RAG ingestion/retrieval across multiple document formats.

Compatibility

• Works with architect-python-uv-batch.
• Works with architect-python-uv-fastapi-sqlalchemy.
• Can back a Next.js app via a Python worker service.

Inputs

Collect:

• SOURCE_FORMATS: one or more of pdf, markdown, txt, html, csv.
• EMBED_PROVIDER: openai or sentence-transformers.
• VECTOR_STORE: pgvector, chroma, or existing vector layer.
• CHUNK_SIZE: default 1000.
• CHUNK_OVERLAP: default 150.
• TOP_K: default 5.