diff --git a/docs/_source/arborist-one-pager.rst b/docs/_source/arborist-one-pager.rst index 48a9eec..549be03 100644 --- a/docs/_source/arborist-one-pager.rst +++ b/docs/_source/arborist-one-pager.rst @@ -51,10 +51,13 @@ policy hit the same record. Reproducible. Replayable. Shareable. cited claim resolves to a chain of evidence ending at a public-domain or open-licensed source. -**What it costs.** Python 3.12. SQLite, one file (~2 GB for a -Wikipedia-sized corpus). No GPU for the proof path. Use any -OpenAI-compatible inference endpoint; the free reference endpoint is -`hermes.ai.unturf.com `_. Source: +**What it costs.** Python 3.12. SQLite, one file per shard, each +designed around ~10 GB. A Wikipedia-class corpus lands across a +handful of shards (the live deployment is four shards, ~38 GB on +disk, holding 3.5 M documents / 6.2 M chunks). No GPU for the proof +path. Use any OpenAI-compatible inference endpoint; the free +reference endpoint is `hermes.ai.unturf.com +`_. Source: `git.unturf.com/engineering/unturf/arborist `_. Full whitepaper: `unfirehose.com/merkle-providence-reverse-rag.html diff --git a/docs/_source/arborist-two-pager.rst b/docs/_source/arborist-two-pager.rst index 6a0ed36..a047719 100644 --- a/docs/_source/arborist-two-pager.rst +++ b/docs/_source/arborist-two-pager.rst @@ -115,7 +115,10 @@ What it costs ================== ============================================================ Language Python 3.12 -Storage SQLite — one file, ~2 GB for a Wikipedia-sized corpus +Storage SQLite — one file per shard, designed around ~10 GB each. + A Wikipedia-class corpus lands across a handful of shards + (the live deployment is 4 × ~9.6 GB ≈ 38 GB, holding + 3.5 M documents and 6.2 M chunks). Compute No GPU required for the proof path. Inference runs wherever you want — locally, or via an OpenAI-compatible endpoint. Optional Cross-encoder rerankers (80–560 MB) for harder relevance