feat: Phase 0 bootstrap — Qdrant deploy e schema PostgreSQL

- README.md: contesto ALPHA_PROJECT, architettura multi-agent, stack infrastrutturale
- CHANGELOG.md: documenta deploy Qdrant v1.17.0 e creazione database pompeo
- db/postgres.sql: schema DDL database pompeo (user_profile, memory_facts,
  finance_documents, behavioral_context, agent_messages) con multi-tenancy user_id
- db/qdrant.sh: script per creazione/ripristino collections Qdrant
  (episodes, knowledge, preferences) con payload indexes

Design decisions:
- Multi-tenancy via user_id su Qdrant e PostgreSQL (estendibile a nuovi utenti
  senza modifiche infrastrutturali)
- agent_messages come blackboard persistente per il Proactive Arbiter

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

db/qdrant.sh

@@ -0,0 +1,91 @@
+#!/usr/bin/env bash
+# =============================================================================
+# ALPHA_PROJECT — Qdrant — Setup collections e payload indexes
+# =============================================================================
+# Collections già create il 2026-03-21. Script conservato per tracciabilità
+# e disaster recovery (da eseguire su un'istanza Qdrant vuota).
+#
+# Prerequisiti:
+#   sudo microk8s kubectl port-forward svc/qdrant -n persistence 6333:6333
+#
+# Esecuzione:
+#   bash alpha/db/qdrant.sh
+# =============================================================================
+
+set -euo pipefail
+
+QDRANT_URL="${QDRANT_URL:-http://localhost:6333}"
+QDRANT_API_KEY="${QDRANT_API_KEY:-__Montecarlo00!}"
+
+# Dimensione vettori: 1536 = text-embedding-3-small (Copilot, bootstrap phase)
+# Da aggiornare a 768 alla migrazione verso nomic-embed-text su Ollama
+VECTOR_SIZE=1536
+
+header_key="api-key: ${QDRANT_API_KEY}"
+
+echo "==> Connessione a ${QDRANT_URL}"
+curl -sf "${QDRANT_URL}/" -H "${header_key}" | grep -o '"version":"[^"]*"'
+echo ""
+
+# -----------------------------------------------------------------------------
+# Collections
+# Architettura multi-tenant: isolamento via campo user_id nel payload.
+# Valori user_id: "martin" | "shared" | <futuri utenti>
+# -----------------------------------------------------------------------------
+for COL in episodes knowledge preferences; do
+  echo "==> Creazione collection: ${COL}"
+  curl -sf -X PUT "${QDRANT_URL}/collections/${COL}" \
+    -H "${header_key}" \
+    -H "Content-Type: application/json" \
+    -d "{
+      \"vectors\": { \"size\": ${VECTOR_SIZE}, \"distance\": \"Cosine\" },
+      \"optimizers_config\": { \"default_segment_number\": 2 },
+      \"replication_factor\": 1
+    }" | grep -o '"status":"[^"]*"'
+done
+
+echo ""
+
+# -----------------------------------------------------------------------------
+# Payload indexes (per pre-filtering efficiente prima della ricerca vettoriale)
+# -----------------------------------------------------------------------------
+for COL in episodes knowledge preferences; do
+  echo "==> Indexes per collection: ${COL}"
+
+  for FIELD in user_id source category; do
+    printf "   %-20s (keyword) → " "${FIELD}"
+    curl -sf -X PUT "${QDRANT_URL}/collections/${COL}/index" \
+      -H "${header_key}" \
+      -H "Content-Type: application/json" \
+      -d "{\"field_name\": \"${FIELD}\", \"field_schema\": \"keyword\"}" \
+      | grep -o '"status":"[^"]*"'
+  done
+
+  printf "   %-20s (datetime) → " "date"
+  curl -sf -X PUT "${QDRANT_URL}/collections/${COL}/index" \
+    -H "${header_key}" \
+    -H "Content-Type: application/json" \
+    -d '{"field_name": "date", "field_schema": "datetime"}' \
+    | grep -o '"status":"[^"]*"'
+
+  printf "   %-20s (bool) → " "action_required"
+  curl -sf -X PUT "${QDRANT_URL}/collections/${COL}/index" \
+    -H "${header_key}" \
+    -H "Content-Type: application/json" \
+    -d '{"field_name": "action_required", "field_schema": "bool"}' \
+    | grep -o '"status":"[^"]*"'
+done
+
+echo ""
+
+# -----------------------------------------------------------------------------
+# Verifica finale
+# -----------------------------------------------------------------------------
+echo "==> Collections attive:"
+curl -sf "${QDRANT_URL}/collections" -H "${header_key}" \
+  | python3 -c "import sys,json; [print('   -', c['name']) for c in json.load(sys.stdin)['result']['collections']]"
+
+echo ""
+echo "✅ Setup Qdrant completato."
+echo "   Collections: episodes, knowledge, preferences"
+echo "   Payload indexes: user_id, source, category, date, action_required"