diff --git a/docs/_source/arborist-one-pager.rst b/docs/_source/arborist-one-pager.rst index 549be03..293e994 100644 --- a/docs/_source/arborist-one-pager.rst +++ b/docs/_source/arborist-one-pager.rst @@ -56,8 +56,9 @@ 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: +reference endpoint is `hermes.ai.unturf.com/v1 +`_ (OpenAI-compatible — the +``/v1/models`` link returns the live model card). 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 a047719..b9e48e3 100644 --- a/docs/_source/arborist-two-pager.rst +++ b/docs/_source/arborist-two-pager.rst @@ -28,9 +28,10 @@ of the source it came from. It is the reference implementation of the *Merkle Providence Reverse RAG* whitepaper (`unfirehose.com/merkle-providence-reverse-rag.html `_), with -a free reference inference endpoint at `hermes.ai.unturf.com -`_; arborist also runs against any -OpenAI-compatible alternative. +a free reference inference endpoint at `hermes.ai.unturf.com/v1 +`_ (OpenAI-compatible — the +``/v1/models`` link returns the live model card); arborist also runs +against any OpenAI-compatible alternative. What it solves --------------