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diff --git a/collaborativeagents/scripts/rag_test_v5.sbatch b/collaborativeagents/scripts/rag_test_v5.sbatch
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+#!/bin/bash
+#SBATCH --job-name=rag_test
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8-interactive
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=32
+#SBATCH --gres=gpu:4
+#SBATCH --mem=200G
+#SBATCH --time=00:40:00
+#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_test-%j.out
+#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/rag_test-%j.err
+
+# Test with explicit device assignment:
+# - vLLM user sim: GPUs 0,1
+# - vLLM agent: GPUs 2,3 (0.45 memory)
+# - Embedding: cuda:2
+# - Reranker: cuda:3
+# - Extractor: cuda:2
+
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents
+source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
+conda activate eval
+export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
+export PYTHONPATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/src:$PYTHONPATH"
+
+PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl"
+AGENT_MODEL="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+USER_MODEL="meta-llama/Llama-3.1-70B-Instruct"
+
+echo "=== RAG Test v5 ==="
+echo "Explicit device assignment: embed->cuda:2, reranker->cuda:3, extractor->cuda:2"
+echo "5 profiles, 15 sessions"
+date
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+
+# Clear empty store
+> /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl
+rm -f /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_embeddings.npy
+
+# Start vLLM servers
+# User simulator: GPUs 0,1
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $USER_MODEL \
+    --port 8004 --tensor-parallel-size 2 --gpu-memory-utilization 0.90 \
+    --max-model-len 16384 --dtype bfloat16 --download-dir $HF_HOME &
+
+# Agent: GPUs 2,3 (restored to 0.45 since HF models now explicitly assigned)
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $AGENT_MODEL \
+    --port 8003 --tensor-parallel-size 2 --gpu-memory-utilization 0.45 \
+    --max-model-len 16384 --dtype bfloat16 &
+
+echo "Waiting for vLLM servers..."
+for i in {1..200}; do
+    if curl -s http://localhost:8004/health > /dev/null 2>&1; then
+        echo "User simulator ready after $((i*5))s"
+        break
+    fi
+    sleep 5
+done
+for i in {1..60}; do
+    if curl -s http://localhost:8003/health > /dev/null 2>&1; then
+        echo "Agent ready after $((i*5))s"
+        break
+    fi
+    sleep 5
+done
+sleep 5
+
+OUTPUT_DIR="../results/rag_test_v5_$(date +%Y%m%d_%H%M%S)"
+
+for METHOD in vanilla rag rag_vector; do
+    echo ""
+    echo "============================================"
+    echo "Testing: $METHOD"
+    echo "============================================"
+
+    # Clear memory store before each method
+    > /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_cards.jsonl
+    rm -f /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/data/corpora/empty_store/memory_embeddings.npy
+
+    date
+    python scripts/run_experiments.py --methods $METHOD \
+        --datasets math-hard --n-profiles 5 --n-sessions 15 --max-turns 15 \
+        --use-vllm --no-batch-processing --parallel-profiles 5 \
+        --output-dir $OUTPUT_DIR --profile-path $PROFILE_PATH
+
+    echo "Method $METHOD completed"
+done
+
+echo ""
+echo "=== Done ==="
+date
+
+pkill -f "vllm.entrypoints" 2>/dev/null || true