From 020a806d088ccf150bc60ae6a34c0a8042bd2a69 Mon Sep 17 00:00:00 2001
From: Andrew Stoltz <andrew@flowercore.io>
Date: Fri, 24 Apr 2026 01:08:55 -0500
Subject: [PATCH] =?UTF-8?q?intranet:=20v202604240108gpu=20=E2=80=94=20poin?=
 =?UTF-8?q?t=20indexer=20at=20BLUEJAY-WS=20GPU=20+=20FilePatterns=20fix?=
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Two-part fix on top of the live Shared.Indexing rollout:

1. Image bump v202604240050corpus -> v202604240108gpu, rebuilt from
   FlowerCore.Intranet.Web@feat/shared-indexing-search (HEAD includes
   the FilePatterns array-merge fix in IntranetSearchOptions). At
   runtime each DocCorpusRoot now sees ONLY the patterns explicitly
   set in appsettings.json — notes-md gets ["*.md"], notes-html gets
   ["*.html"], no accidental cross-bleed.

2. New IntranetSearch__OllamaBaseUrl env var pointing at
   http://10.0.56.20:11434 (BLUEJAY-WS GPU, R9700 32GB VRAM). Verified
   reachable from the cluster and nomic-embed-text:latest is pulled.
   This is the workaround for memory feedback_pi5_nomic_embed_slow:
   edge1 Pi 5 takes ~189s per 32-chunk batch, projecting full notes-md
   indexing (5665 chunks) at ~9 hours; the GPU should land it in minutes.
   Edge1 stays the chat default; this env var only redirects the
   indexer's bulk embedding calls.

Image distributed to all three RKE2 nodes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---
 apps/intranet/intranet.yaml | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/apps/intranet/intranet.yaml b/apps/intranet/intranet.yaml
index 0521bc8..aff3ac9 100644
--- a/apps/intranet/intranet.yaml
+++ b/apps/intranet/intranet.yaml
@@ -37,7 +37,7 @@ spec:
     spec:
       containers:
         - name: intranet-web
-          image: localhost/fc-intranet-web:v202604240050corpus
+          image: localhost/fc-intranet-web:v202604240108gpu
           imagePullPolicy: Never
           ports:
             - containerPort: 5300
@@ -47,6 +47,11 @@ spec:
               value: Production
             - name: ASPNETCORE_URLS
               value: "http://+:5300"
+            # Bulk corpus indexing on edge1 Pi 5 takes ~6s/chunk × 5665 chunks
+            # ≈ 9 hours. BLUEJAY-WS GPU (R9700, 32GB VRAM) does the same work
+            # in minutes. Memory: feedback_pi5_nomic_embed_slow.
+            - name: IntranetSearch__OllamaBaseUrl
+              value: "http://10.0.56.20:11434"
           resources:
             requests:
               memory: "256Mi"