Graphviz DOT diagram of the arborist pipeline as the answer to the Google L5 system-design prompt 'design a RAG pipeline for 10M docs with zero hallucination'. Maps our components onto the canonical 10-box RAG design and shows the three extensions that buy zero-hallucination + near-zero cost: deterministic verifier (not a model confidence score) -> honest UNGROUNDED; Merkle-bound cache that skips the GPU; measured energy COGS (~$0.07-0.16/1k answers, non-reasoning). Includes the mapping table + the 3.47M->10M scaling math (+77GB, sourcing/storage not redesign). Enables sphinx.ext.graphviz (SVG output) + graphviz apt package on the RTD build; adds the page to the Summary-pages toctree. Builds clean (page renders, DOT validates via dot -Tsvg).
23 lines
468 B
YAML
23 lines
468 B
YAML
# Read the Docs configuration file
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# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
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version: 2
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build:
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os: ubuntu-24.04
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tools:
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python: "3.13"
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apt_packages:
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- graphviz # `dot` binary for sphinx.ext.graphviz diagrams
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sphinx:
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configuration: docs/_source/conf.py
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python:
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install:
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- requirements: docs/_source/requirements.txt
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- method: pip
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path: .
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extra_requirements:
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- html
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- wikitext
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