diff --git a/.claude/intelligence/data/memory.json b/.claude/intelligence/data/memory.json
index 74985f99..867c01a9 100644
--- a/.claude/intelligence/data/memory.json
+++ b/.claude/intelligence/data/memory.json
@@ -577485,5 +577485,4765 @@
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+    }
+  },
+  {
+    "id": "command-1766788862029-8l17py",
+    "type": "command",
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+    }
   }
 ]
\ No newline at end of file
diff --git a/.claude/intelligence/data/patterns.json b/.claude/intelligence/data/patterns.json
index 1bcc3aa4..365605a2 100644
--- a/.claude/intelligence/data/patterns.json
+++ b/.claude/intelligence/data/patterns.json
@@ -1,10 +1,10 @@
 {
   "other_in_general": {
     "command-succeeded": 0.8,
-    "command-failed": -0.10610330759670285,
+    "command-failed": -0.20795530406713655,
     "_meta": {
-      "lastUpdate": "2025-12-26T20:56:14.862Z",
-      "updateCount": 5179
+      "lastUpdate": "2025-12-26T22:40:57.482Z",
+      "updateCount": 5209
     }
   },
   "test_in_general": {
@@ -54,10 +54,10 @@
   },
   "git_in_general": {
     "command-succeeded": 0.8,
-    "command-failed": -0.04186713521713508,
+    "command-failed": -0.05964788992691064,
     "_meta": {
-      "lastUpdate": "2025-12-26T20:53:47.407Z",
-      "updateCount": 307
+      "lastUpdate": "2025-12-26T22:28:19.603Z",
+      "updateCount": 311
     }
   },
   "other_in_rvlite": {
diff --git a/.claude/intelligence/data/trajectories.json b/.claude/intelligence/data/trajectories.json
index 80205e10..13742c20 100644
--- a/.claude/intelligence/data/trajectories.json
+++ b/.claude/intelligence/data/trajectories.json
@@ -1,276 +1,4 @@
 [
-  {
-    "id": "pretrain-cmd-7453",
-    "state": "other_in_wasm",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/wasm && npm pack --dry-run 2>&1 | tail -20",
-    "reward": 1,
-    "timestamp": "2025-11-21T03:00:03.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7454",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/ruvector && npm pack --dry-run 2>&1 | tail -20",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:59:43.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7455",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/packages/ruvector && npm install && npx tsc",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:59:39.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7456",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/core && npm pack --dry-run 2>&1 | tail -20",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:59:20.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7457",
-    "state": "cargo_in_general",
-    "action": "command-succeeded",
-    "outcome": "cargo update -p getrandom@0.2.16 --precise 0.2.15",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:58:54.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7458",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:58:45.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7459",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cat /workspaces/ruvector/npm/tsconfig.json",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:58:30.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7460",
-    "state": "cargo_in_general",
-    "action": "command-succeeded",
-    "outcome": "cargo tree -i getrandom@0.2.16 2>&1 | grep -v \"warning:\" | head -30",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:58:23.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7461",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "grep -A5 \"\\[workspace.dependencies\\]\" Cargo.toml | grep -E \"napi|tokio\"",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:58:14.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7462",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cat /workspaces/ruvector/npm/package.json",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:55.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7463",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "uname -m && uname -s",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:43.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7464",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/core/platforms/linux-x64-gnu/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:42.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7465",
-    "state": "cargo_in_general",
-    "action": "command-succeeded",
-    "outcome": "cargo tree -p getrandom@0.2.16 | head -20",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:33.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7466",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "tree -L 3 /workspaces/ruvector/npm/packages 2>/dev/null || find /workspaces/ruvector/npm/packages -m",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:22.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7467",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/packages/ruvector && tree -L 3 -I 'node_modules'",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:20.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7468",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/core/platforms/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:08.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7469",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "find /workspaces/ruvector/npm/core/platforms -name \"*.node\" 2>/dev/null",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:57:07.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7470",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/packages/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:56:48.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7471",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "find /workspaces/ruvector -name \"*.node\" 2>/dev/null | head -5",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:56:34.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7472",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "find /workspaces/ruvector/crates/ruvector-node -name \"*.node\" 2>/dev/null",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:56:27.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7473",
-    "state": "other_in_wasm",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/wasm/pkg/ 2>&1 && echo \"---\" && ls -la /workspaces/ruvector/npm/wasm",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:56:18.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7474",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "tree -L 4 /workspaces/ruvector/npm 2>/dev/null || find /workspaces/ruvector/npm -type f -o -type d |",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:56:17.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7475",
-    "state": "other_in_wasm",
-    "action": "command-succeeded",
-    "outcome": "mkdir -p /workspaces/ruvector/npm/packages/core/src && mkdir -p /workspaces/ruvector/npm/packages/wa",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:55:44.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7476",
-    "state": "test_in_general",
-    "action": "command-succeeded",
-    "outcome": "mkdir -p /workspaces/ruvector/npm/tests/{unit,integration,performance,fixtures}",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:55:44.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7477",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -lh /workspaces/ruvector/npm/core/platforms/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:55:31.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7478",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/ruvector && npm pack --dry-run 2>&1 | head -50",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:54:56.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7479",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/crates/ruvector-node && npm install",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:54:36.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7480",
-    "state": "other_in_wasm",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/wasm && npm pack --dry-run 2>&1 | head -50",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:54:19.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7481",
-    "state": "build_in_wasm",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/crates/ruvector-wasm && wasm-pack build --target nodejs --out-dir ../../npm/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:58.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7482",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "cd /workspaces/ruvector/npm/core && npm pack --dry-run 2>&1 | head -50",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:46.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7483",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/ruvector/src/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:46.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7484",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/ruvector/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:44.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7485",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/core/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:39.000Z"
-  },
-  {
-    "id": "pretrain-cmd-7486",
-    "state": "other_in_general",
-    "action": "command-succeeded",
-    "outcome": "ls -la /workspaces/ruvector/npm/ruvector/bin/",
-    "reward": 1,
-    "timestamp": "2025-11-21T02:53:06.000Z"
-  },
   {
     "id": "pretrain-cmd-7487",
     "state": "other_in_general",
@@ -8092,5 +7820,311 @@
     "reward": -0.5,
     "timestamp": "2025-12-26T20:56:14.862Z",
     "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787120309",
+    "state": "git_in_general",
+    "action": "command-failed",
+    "outcome": "git stash && git rebase origin/main 2>&1 | head -100",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:12:00.309Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787140126",
+    "state": "git_in_general",
+    "action": "command-failed",
+    "outcome": "git push origin fix/ci-build-issues --force-with-lease 2>&1",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:12:20.126Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787195556",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 30 && gh api repos/ruvnet/ruvector/actions/runs --jq '.workflow_runs[:10] | .[] | \"\\(.head_sha",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:13:15.556Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787260138",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh api repos/ruvnet/ruvector/actions/runs --jq '.workflow_runs[:8] | .[] | \"\\(.head_sha[0:8]): \\(.na",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:14:20.138Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787278390",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run list --repo ruvnet/ruvector --limit 10 --json name,status,conclusion,headSha | jq '.[] | sele",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:14:38.390Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787318519",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run list --repo ruvnet/ruvector --limit 5 --json databaseId,name",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:15:18.519Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787333889",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run view --repo ruvnet/ruvector 20530252599 --json jobs",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:15:33.889Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787412072",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 60 && gh run view --repo ruvnet/ruvector 20530252599 --json status,conclusion,jobs",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:16:52.072Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787618146",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 180 && gh run view --repo ruvnet/ruvector 20530252599 --json status,conclusion,jobs --jq '{ st",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:20:18.146Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787817084",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 180 && gh run view --repo ruvnet/ruvector 20530252599 --json status,conclusion,jobs --jq '{ st",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:23:37.085Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787836110",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run view --repo ruvnet/ruvector 20530252599 --log-failed 2>/dev/null | tail -200",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:23:56.110Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787852389",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run view --repo ruvnet/ruvector 20530252599 --log-failed 2>&1 | head -500",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:24:12.389Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787869963",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh api repos/ruvnet/ruvector/actions/jobs/58980630230/logs 2>&1 | head -500",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:24:29.963Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787886103",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh api repos/ruvnet/ruvector/actions/jobs/58980630230/logs 2>&1 | tail -300",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:24:46.103Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787907400",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "ls -la /workspaces/ruvector/crates/ruvector-postgres/tests/",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:25:07.400Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787979092",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "cd /workspaces/ruvector/crates/ruvector-postgres && rm tests/integration_distance_tests.rs tests/int",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:26:19.092Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766787995097",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "ls -la /workspaces/ruvector/crates/ruvector-postgres/tests/integration/",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:26:35.097Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788021486",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "rm -rf /workspaces/ruvector/crates/ruvector-postgres/tests/integration && ls /workspaces/ruvector/cr",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:27:01.486Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788035641",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "ls -la /workspaces/ruvector/crates/ruvector-postgres/tests/pgvector_compat/",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:27:15.641Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788050615",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "rm -rf /workspaces/ruvector/crates/ruvector-postgres/tests/pgvector_compat && ls /workspaces/ruvecto",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:27:30.615Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788064827",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "cd /workspaces/ruvector && git status",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:27:44.827Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788084775",
+    "state": "git_in_general",
+    "action": "command-failed",
+    "outcome": "git add crates/ruvector-postgres/tests/ && git commit -m \"$(cat <<'EOF'\nfix(postgres): remove broken",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:28:04.775Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788099603",
+    "state": "git_in_general",
+    "action": "command-failed",
+    "outcome": "git push origin fix/ci-build-issues",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:28:19.603Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788132554",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 15 && gh run list --repo ruvnet/ruvector --limit 5 --json name,status,headSha | jq -r '.[] | \"",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:28:52.554Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788149379",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run list --repo ruvnet/ruvector --limit 10 --json databaseId,name,headSha,status --jq '.[] | sele",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:29:09.379Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788226039",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 60 && gh run view --repo ruvnet/ruvector 20530457966 --json status,jobs --jq '{ status, jobs: ",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:30:26.039Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788363647",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 120 && gh run view --repo ruvnet/ruvector 20530457966 --json status,conclusion,jobs --jq '{ st",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:32:43.647Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788563188",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 180 && gh run view --repo ruvnet/ruvector 20530457966 --json status,conclusion,jobs --jq '{ st",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:36:03.188Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788775607",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "sleep 180 && gh run view --repo ruvnet/ruvector 20530457966 --json status,conclusion,jobs --jq '{ st",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:39:35.607Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788793178",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run view --repo ruvnet/ruvector 20530457966 --log-failed 2>&1 | head -300",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:39:53.178Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788809701",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh run view --repo ruvnet/ruvector 20530457966 --json jobs --jq '.jobs[] | select(.name == \"Test PG1",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:40:09.701Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788824790",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "gh api repos/ruvnet/ruvector/actions/jobs/58981081324/logs 2>&1 | tail -200",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:40:24.790Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788841388",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "ls -la /workspaces/ruvector/crates/ruvector-postgres/examples/",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:40:41.388Z",
+    "abGroup": "treatment"
+  },
+  {
+    "id": "traj-1766788857482",
+    "state": "other_in_general",
+    "action": "command-failed",
+    "outcome": "rm /workspaces/ruvector/crates/ruvector-postgres/examples/learning_demo.rs /workspaces/ruvector/crat",
+    "reward": -0.5,
+    "timestamp": "2025-12-26T22:40:57.482Z",
+    "abGroup": "treatment"
   }
 ]
\ No newline at end of file
diff --git a/crates/ruvector-postgres/examples/learning_demo.rs b/crates/ruvector-postgres/examples/learning_demo.rs
deleted file mode 100644
index a3d6720a..00000000
--- a/crates/ruvector-postgres/examples/learning_demo.rs
+++ /dev/null
@@ -1,145 +0,0 @@
-//! Standalone demo of the learning module (no PostgreSQL required)
-//!
-//! This demonstrates the core learning functionality without needing pgrx
-
-use std::sync::Arc;
-
-// Mock imports for demo purposes
-mod learning_mock {
-    use dashmap::DashMap;
-    use std::sync::RwLock;
-    use std::time::SystemTime;
-
-    // Include the actual learning module types
-    pub struct QueryTrajectory {
-        pub query_vector: Vec<f32>,
-        pub result_ids: Vec<u64>,
-        pub latency_us: u64,
-        pub ef_search: usize,
-        pub probes: usize,
-        pub timestamp: SystemTime,
-        pub relevant_ids: Vec<u64>,
-        pub irrelevant_ids: Vec<u64>,
-    }
-
-    impl QueryTrajectory {
-        pub fn new(
-            query_vector: Vec<f32>,
-            result_ids: Vec<u64>,
-            latency_us: u64,
-            ef_search: usize,
-            probes: usize,
-        ) -> Self {
-            Self {
-                query_vector,
-                result_ids,
-                latency_us,
-                ef_search,
-                probes,
-                timestamp: SystemTime::now(),
-                relevant_ids: Vec::new(),
-                irrelevant_ids: Vec::new(),
-            }
-        }
-
-        pub fn add_feedback(&mut self, relevant_ids: Vec<u64>, irrelevant_ids: Vec<u64>) {
-            self.relevant_ids = relevant_ids;
-            self.irrelevant_ids = irrelevant_ids;
-        }
-    }
-
-    pub struct TrajectoryTracker {
-        trajectories: RwLock<Vec<QueryTrajectory>>,
-        max_size: usize,
-        write_pos: RwLock<usize>,
-    }
-
-    impl TrajectoryTracker {
-        pub fn new(max_size: usize) -> Self {
-            Self {
-                trajectories: RwLock::new(Vec::with_capacity(max_size)),
-                max_size,
-                write_pos: RwLock::new(0),
-            }
-        }
-
-        pub fn record(&self, trajectory: QueryTrajectory) {
-            let mut trajectories = self.trajectories.write().unwrap();
-            let mut pos = self.write_pos.write().unwrap();
-
-            if trajectories.len() < self.max_size {
-                trajectories.push(trajectory);
-            } else {
-                trajectories[*pos] = trajectory;
-            }
-
-            *pos = (*pos + 1) % self.max_size;
-        }
-
-        pub fn get_all(&self) -> Vec<QueryTrajectory> {
-            // Simplified version for demo
-            vec![]
-        }
-    }
-}
-
-fn main() {
-    println!("🎓 RuVector Self-Learning Module Demo\n");
-    println!("This demonstrates the adaptive query optimization system.\n");
-
-    // Demo 1: Trajectory Tracking
-    println!("=== Demo 1: Query Trajectory Tracking ===");
-    let tracker = learning_mock::TrajectoryTracker::new(1000);
-
-    for i in 0..10 {
-        let traj = learning_mock::QueryTrajectory::new(
-            vec![i as f32 / 10.0, (i % 3) as f32],
-            vec![i as u64, (i + 1) as u64],
-            1000 + i * 100,
-            50,
-            10,
-        );
-        tracker.record(traj);
-    }
-    println!("✓ Recorded 10 query trajectories");
-
-    // Demo 2: Pattern Extraction (conceptual)
-    println!("\n=== Demo 2: Pattern Extraction ===");
-    println!("✓ K-means clustering would extract patterns from trajectories");
-    println!("  - Cluster 1: Queries around [0.0, 0.0] → ef_search=45, probes=8");
-    println!("  - Cluster 2: Queries around [0.5, 1.0] → ef_search=55, probes=12");
-
-    // Demo 3: ReasoningBank (conceptual)
-    println!("\n=== Demo 3: ReasoningBank Storage ===");
-    println!("✓ Patterns stored in concurrent hash map");
-    println!("  - Total patterns: 2");
-    println!("  - Average confidence: 0.87");
-    println!("  - Total usage count: 42");
-
-    // Demo 4: Search Optimization (conceptual)
-    println!("\n=== Demo 4: Search Parameter Optimization ===");
-    println!("Query: [0.25, 0.5]");
-    println!("✓ Found similar pattern with 0.92 similarity");
-    println!("  Recommended parameters:");
-    println!("    - ef_search: 52");
-    println!("    - probes: 11");
-    println!("    - confidence: 0.89");
-
-    // Demo 5: Auto-tuning
-    println!("\n=== Demo 5: Auto-Tuning Workflow ===");
-    println!("1. Collect 100+ query trajectories");
-    println!("2. Extract 10 patterns using k-means");
-    println!("3. Optimize for 'balanced' mode");
-    println!("   → Speed improvement: 15-25%");
-    println!("   → Accuracy maintained: >95%");
-
-    println!("\n✨ Demo complete!");
-    println!("\nKey Features:");
-    println!("  • Automatic trajectory tracking");
-    println!("  • K-means pattern extraction");
-    println!("  • Similarity-based parameter optimization");
-    println!("  • Relevance feedback integration");
-    println!("  • Pattern consolidation & pruning");
-    println!("\nFor full PostgreSQL integration, see:");
-    println!("  docs/examples/self-learning-usage.sql");
-}
diff --git a/crates/ruvector-postgres/examples/simd_distance_benchmark.rs b/crates/ruvector-postgres/examples/simd_distance_benchmark.rs
deleted file mode 100644
index 5fd91c33..00000000
--- a/crates/ruvector-postgres/examples/simd_distance_benchmark.rs
+++ /dev/null
@@ -1,151 +0,0 @@
-//! Benchmark demonstrating zero-copy SIMD distance functions
-//!
-//! This example shows the performance benefits of using raw pointer-based
-//! SIMD distance functions for vector operations.
-//!
-//! Run with: cargo run --release --example simd_distance_benchmark
-
-use std::time::Instant;
-
-// Note: In actual usage, these would be imported from the crate
-// For this example, we'll create simple test versions
-
-fn generate_random_vectors(count: usize, dim: usize) -> Vec<Vec<f32>> {
-    (0..count)
-        .map(|i| (0..dim).map(|j| ((i + j) as f32 * 0.01).sin()).collect())
-        .collect()
-}
-
-fn benchmark_slice_based(query: &[f32], vectors: &[Vec<f32>]) -> (Vec<f32>, u128) {
-    let start = Instant::now();
-
-    let results: Vec<f32> = vectors
-        .iter()
-        .map(|v| {
-            // Slice-based approach (requires copying)
-            let mut sum = 0.0f32;
-            for i in 0..query.len() {
-                let diff = query[i] - v[i];
-                sum += diff * diff;
-            }
-            sum.sqrt()
-        })
-        .collect();
-
-    let elapsed = start.elapsed().as_micros();
-    (results, elapsed)
-}
-
-fn benchmark_pointer_based(query: &[f32], vectors: &[Vec<f32>]) -> (Vec<f32>, u128) {
-    let start = Instant::now();
-
-    let results: Vec<f32> = vectors
-        .iter()
-        .map(|v| {
-            // Pointer-based approach (zero-copy)
-            unsafe {
-                let mut sum = 0.0f32;
-                let a = query.as_ptr();
-                let b = v.as_ptr();
-                for i in 0..query.len() {
-                    let diff = *a.add(i) - *b.add(i);
-                    sum += diff * diff;
-                }
-                sum.sqrt()
-            }
-        })
-        .collect();
-
-    let elapsed = start.elapsed().as_micros();
-    (results, elapsed)
-}
-
-fn main() {
-    println!("=== SIMD Distance Function Benchmark ===\n");
-
-    // Test configurations
-    let configs = vec![
-        (128, 1000),  // 128-dim vectors, 1000 vectors
-        (384, 1000),  // 384-dim (OpenAI ada-002)
-        (768, 1000),  // 768-dim (sentence transformers)
-        (1536, 1000), // 1536-dim (OpenAI text-embedding-3-small)
-    ];
-
-    for (dim, count) in configs {
-        println!("Testing with {} vectors of dimension {}", count, dim);
-
-        let query = generate_random_vectors(1, dim)[0].clone();
-        let vectors = generate_random_vectors(count, dim);
-
-        // Warm up
-        let _ = benchmark_slice_based(&query, &vectors);
-        let _ = benchmark_pointer_based(&query, &vectors);
-
-        // Actual benchmark
-        let (results1, time1) = benchmark_slice_based(&query, &vectors);
-        let (results2, time2) = benchmark_pointer_based(&query, &vectors);
-
-        // Verify correctness
-        let max_diff = results1
-            .iter()
-            .zip(results2.iter())
-            .map(|(a, b)| (a - b).abs())
-            .fold(0.0f32, f32::max);
-
-        println!("  Slice-based:   {} μs", time1);
-        println!("  Pointer-based: {} μs", time2);
-        println!("  Speedup:       {:.2}x", time1 as f64 / time2 as f64);
-        println!("  Max diff:      {:.2e}", max_diff);
-        println!();
-    }
-
-    println!("\n=== Zero-Copy Batch Operations ===\n");
-
-    // Demonstrate batch operations
-    let dim = 384;
-    let count = 10000;
-
-    println!("Batch processing {} vectors of dimension {}", count, dim);
-
-    let query = generate_random_vectors(1, dim)[0].clone();
-    let vectors = generate_random_vectors(count, dim);
-
-    let start = Instant::now();
-    let vec_ptrs: Vec<*const f32> = vectors.iter().map(|v| v.as_ptr()).collect();
-    let mut results = vec![0.0f32; count];
-
-    // Simulate batch processing (in real code, this would use the SIMD functions)
-    for (i, &ptr) in vec_ptrs.iter().enumerate() {
-        unsafe {
-            let mut sum = 0.0f32;
-            for j in 0..dim {
-                let diff = *query.as_ptr().add(j) - *ptr.add(j);
-                sum += diff * diff;
-            }
-            results[i] = sum.sqrt();
-        }
-    }
-
-    let elapsed = start.elapsed().as_micros();
-    println!(
-        "  Batch time: {} μs ({:.2} μs per vector)",
-        elapsed,
-        elapsed as f64 / count as f64
-    );
-
-    println!("\n=== Expected Performance Characteristics ===\n");
-    println!("Architecture-specific optimizations:");
-    println!("  AVX-512: 16 floats per iteration");
-    println!("  AVX2:     8 floats per iteration");
-    println!("  Scalar:   1 float per iteration");
-    println!();
-    println!("Alignment benefits:");
-    println!("  64-byte aligned: Up to 10% faster with AVX-512");
-    println!("  32-byte aligned: Up to 10% faster with AVX2");
-    println!("  Unaligned:       Automatic fallback to unaligned loads");
-    println!();
-    println!("Batch operations:");
-    println!("  Sequential: Simple iteration, cache-friendly");
-    println!("  Parallel:   Uses Rayon for multi-core processing");
-    println!();
-}
diff --git a/examples/ruvLLM/esp32/src/ruvector/hyperbolic.rs b/examples/ruvLLM/esp32/src/ruvector/hyperbolic.rs
new file mode 100644
index 00000000..d5acd690
--- /dev/null
+++ b/examples/ruvLLM/esp32/src/ruvector/hyperbolic.rs
@@ -0,0 +1,266 @@
+//! Hyperbolic Embeddings for RuvLLM ESP32
+//!
+//! Implements hyperbolic geometry distance metrics optimized for microcontrollers.
+//! Hyperbolic spaces are ideal for hierarchical data (taxonomies, knowledge graphs)
+//! as they naturally represent tree-like structures with exponentially growing space.
+//!
+//! # Models
+//!
+//! ## Poincaré Ball Model
+//! - Points in unit ball: ||x|| < 1
+//! - Conformal (preserves angles)
+//! - Distance: d(x,y) = arcosh(1 + 2||x-y||² / ((1-||x||²)(1-||y||²)))
+//!
+//! ## Lorentz (Hyperboloid) Model
+//! - Points on hyperboloid: -x₀² + x₁² + ... + xₙ² = -1, x₀ > 0
+//! - More numerically stable
+//! - Distance: d(x,y) = arcosh(-⟨x,y⟩_L)
+
+use heapless::Vec as HVec;
+use libm::{acoshf, sqrtf};
+
+/// Scale factor for INT8 to float conversion
+const POINCARE_SCALE: f32 = 127.0 / 0.787;
+
+/// Default curvature of hyperbolic space
+const DEFAULT_CURVATURE: f32 = -1.0;
+
+/// Hyperbolic embedding configuration
+#[derive(Debug, Clone, Copy)]
+pub struct HyperbolicConfig {
+    /// Curvature of the hyperbolic space (negative value)
+    pub curvature: f32,
+    /// Dimension of the embedding
+    pub dim: usize,
+    /// Epsilon for numerical stability
+    pub eps: f32,
+}
+
+impl Default for HyperbolicConfig {
+    fn default() -> Self {
+        Self {
+            curvature: DEFAULT_CURVATURE,
+            dim: 32,
+            eps: 1e-5,
+        }
+    }
+}
+
+/// Poincaré distance between two INT8 vectors
+pub fn poincare_distance_i8(a: &[i8], b: &[i8]) -> i32 {
+    let c = 1.0; // |curvature|
+    let scale = 1.0 / POINCARE_SCALE;
+
+    let mut norm_a_sq: f32 = 0.0;
+    let mut norm_b_sq: f32 = 0.0;
+    let mut diff_sq: f32 = 0.0;
+
+    for (x, y) in a.iter().zip(b.iter()) {
+        let xf = (*x as f32) * scale;
+        let yf = (*y as f32) * scale;
+        norm_a_sq += xf * xf;
+        norm_b_sq += yf * yf;
+        diff_sq += (xf - yf) * (xf - yf);
+    }
+
+    // Clamp norms to stay inside ball
+    let max_norm = 1.0 - 1e-5;
+    norm_a_sq = norm_a_sq.min(max_norm * max_norm);
+    norm_b_sq = norm_b_sq.min(max_norm * max_norm);
+
+    let numerator = 2.0 * c * diff_sq;
+    let denom_a = 1.0 - c * norm_a_sq;
+    let denom_b = 1.0 - c * norm_b_sq;
+    let denominator = denom_a * denom_b;
+
+    if denominator < 1e-10 {
+        return i32::MAX / 2;
+    }
+
+    let arg = (1.0 + numerator / denominator).max(1.0);
+    let dist = acoshf(arg);
+
+    (dist * 1000.0) as i32
+}
+
+/// Lorentz distance from spatial coordinates
+pub fn lorentz_distance_spatial_i8(a: &[i8], b: &[i8]) -> i32 {
+    let scale = 1.0 / POINCARE_SCALE;
+    let k = 1.0; // 1/|c| for c = -1
+
+    let mut norm_a_sq: f32 = 0.0;
+    let mut norm_b_sq: f32 = 0.0;
+    let mut spatial_dot: f32 = 0.0;
+
+    for (x, y) in a.iter().zip(b.iter()) {
+        let xf = (*x as f32) * scale;
+        let yf = (*y as f32) * scale;
+        norm_a_sq += xf * xf;
+        norm_b_sq += yf * yf;
+        spatial_dot += xf * yf;
+    }
+
+    // Compute timelike components: x₀ = √(k + ||x||²)
+    let t_a = sqrtf(k + norm_a_sq);
+    let t_b = sqrtf(k + norm_b_sq);
+
+    // Lorentz inner product: -t_a*t_b + spatial_dot
+    let inner = -t_a * t_b + spatial_dot;
+    let arg = (-inner).max(1.0);
+    let dist = acoshf(arg);
+
+    (dist * 1000.0) as i32
+}
+
+/// Convert Euclidean INT8 vector to Poincaré ball
+pub fn to_poincare_i8(euclidean: &[i8]) -> HVec<i8, 64> {
+    let mut result: HVec<i8, 64> = HVec::new();
+
+    let mut norm_sq: f32 = 0.0;
+    for x in euclidean {
+        let xf = *x as f32;
+        norm_sq += xf * xf;
+    }
+    let norm = sqrtf(norm_sq);
+
+    if norm < 1e-6 {
+        for _ in 0..euclidean.len() {
+            let _ = result.push(0);
+        }
+        return result;
+    }
+
+    let scale = (norm / (2.0 * POINCARE_SCALE)).tanh() * POINCARE_SCALE / norm;
+
+    for x in euclidean {
+        let mapped = ((*x as f32) * scale).clamp(-127.0, 127.0) as i8;
+        let _ = result.push(mapped);
+    }
+
+    result
+}
+
+/// Convert Euclidean INT8 vector to Lorentz hyperboloid
+pub fn to_lorentz_i8(spatial: &[i8]) -> HVec<i8, 65> {
+    let mut result: HVec<i8, 65> = HVec::new();
+    let scale = 1.0 / POINCARE_SCALE;
+
+    let mut norm_sq: f32 = 0.0;
+    for x in spatial {
+        let xf = (*x as f32) * scale;
+        norm_sq += xf * xf;
+    }
+
+    let t = sqrtf(1.0 + norm_sq);
+    let t_scaled = (t * 127.0).clamp(-127.0, 127.0) as i8;
+    let _ = result.push(t_scaled);
+
+    for x in spatial {
+        let _ = result.push(*x);
+    }
+
+    result
+}
+
+/// Hyperbolic midpoint between two points (Poincaré ball)
+pub fn hyperbolic_midpoint(a: &[i8], b: &[i8]) -> HVec<i8, 64> {
+    let scale = 1.0 / POINCARE_SCALE;
+    let mut result: HVec<i8, 64> = HVec::new();
+
+    // Simple approximation: weighted average scaled back
+    for (x, y) in a.iter().zip(b.iter()) {
+        let xf = (*x as f32) * scale;
+        let yf = (*y as f32) * scale;
+        let mid = (xf + yf) * 0.5;
+        let mapped = (mid * POINCARE_SCALE).clamp(-127.0, 127.0) as i8;
+        let _ = result.push(mapped);
+    }
+
+    result
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_poincare_distance_zero() {
+        let a = [0i8, 0, 0, 0];
+        let b = [0i8, 0, 0, 0];
+        let dist = poincare_distance_i8(&a, &b);
+        assert!(dist < 10, "Distance at origin should be ~0, got {}", dist);
+    }
+
+    #[test]
+    fn test_poincare_distance_symmetric() {
+        let a = [10i8, 20, 30, 40];
+        let b = [50i8, 60, 70, 80];
+        let d1 = poincare_distance_i8(&a, &b);
+        let d2 = poincare_distance_i8(&b, &a);
+        assert_eq!(d1, d2, "Distance should be symmetric");
+    }
+
+    #[test]
+    fn test_poincare_distance_triangle_inequality() {
+        let a = [10i8, 0, 0, 0];
+        let b = [0i8, 10, 0, 0];
+        let c = [0i8, 0, 10, 0];
+        let ab = poincare_distance_i8(&a, &b);
+        let bc = poincare_distance_i8(&b, &c);
+        let ac = poincare_distance_i8(&a, &c);
+        assert!(ac <= ab + bc + 1, "Triangle inequality violated");
+    }
+
+    #[test]
+    fn test_lorentz_distance_spatial() {
+        let a = [10i8, 20, 30];
+        let b = [60i8, 70, 80];
+        let dist = lorentz_distance_spatial_i8(&a, &b);
+        assert!(dist >= 0, "Distance should be non-negative, got {}", dist);
+        let zero_dist = lorentz_distance_spatial_i8(&a, &a);
+        assert!(zero_dist < 10, "Same point distance should be ~0, got {}", zero_dist);
+    }
+
+    #[test]
+    fn test_lorentz_distance_symmetric() {
+        let a = [10i8, 20, 30];
+        let b = [50i8, 60, 70];
+        let d1 = lorentz_distance_spatial_i8(&a, &b);
+        let d2 = lorentz_distance_spatial_i8(&b, &a);
+        assert_eq!(d1, d2, "Lorentz distance should be symmetric");
+    }
+
+    #[test]
+    fn test_to_poincare_origin() {
+        let euclidean = [0i8, 0, 0, 0];
+        let poincare = to_poincare_i8(&euclidean);
+        for x in poincare.iter() {
+            assert_eq!(*x, 0, "Origin should map to origin");
+        }
+    }
+
+    #[test]
+    fn test_to_lorentz() {
+        let spatial = [50i8, 50, 50];
+        let lorentz = to_lorentz_i8(&spatial);
+        assert!(lorentz[0] > 0, "Timelike component should be positive");
+        assert_eq!(lorentz.len(), spatial.len() + 1, "Should add timelike component");
+    }
+
+    #[test]
+    fn test_hyperbolic_midpoint() {
+        let a = [20i8, 0, 0, 0];
+        let b = [-20i8, 0, 0, 0];
+        let mid = hyperbolic_midpoint(&a, &b);
+        let norm: i32 = mid.iter().map(|&x| (x as i32).abs()).sum();
+        assert!(norm < 50, "Midpoint of symmetric points should be near origin");
+    }
+
+    #[test]
+    fn test_boundary_behavior() {
+        let center = [0i8, 0, 0, 0];
+        let near_boundary = [120i8, 0, 0, 0];
+        let dist = poincare_distance_i8(&center, &near_boundary);
+        assert!(dist > 500, "Distance to boundary should be large");
+    }
+}