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tellet-qpre-commit-ci[bot]
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Add cascade workflow (#256)
* Add cascade workflow * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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‎.github/workflows/manual-benchmarks-cascade.yaml

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name: Automated Cascade of Benchmarks
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on:
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repository_dispatch:
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types: [run-benchmark, run-benchmark-cascade]
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workflow_dispatch:
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inputs:
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qdrant_version:
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description: "Version of qdrant to benchmark (tags/v1.6.1, <commit-id>, my-branch, docker/v1.5.1, ghcr/dev)"
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default: ghcr/dev
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dataset:
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description: "Dataset to benchmark"
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default: laion-small-clip
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engine_config:
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description: "Engine config to benchmark"
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default: qdrant-continuous-benchmark
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feature_flags_all:
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type: boolean
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description: "Enable all feature flags (false by default)"
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default: false
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# Inputs to control cascade behavior
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benchmark_set:
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description: "Benchmark set to run (from benchmark-configs.json)"
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default: "smoke_test"
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current_index:
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description: "Current benchmark index in cascade (internal use)"
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default: "0"
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jobs:
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runBenchmark:
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name: benchmark - ${{ github.event.client_payload.qdrant_version || inputs.qdrant_version }} - ${{ github.event.client_payload.dataset || inputs.dataset }}
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- uses: webfactory/[email protected]
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with:
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ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }}
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# Load benchmark configurations from file and set current config
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- name: Set benchmark configuration
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id: config
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run: |
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CONFIG_FILE="benchmark-configs.json"
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if [ "${{ github.event_name }}" = "repository_dispatch" ]; then
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# Repository dispatch - get values from payload
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BENCHMARK_SET="${{ github.event.client_payload.benchmark_set }}"
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CURRENT_INDEX=${{ github.event.client_payload.current_index || 0 }}
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echo "qdrant_version=${{ github.event.client_payload.qdrant_version }}" >> $GITHUB_OUTPUT
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echo "dataset=${{ github.event.client_payload.dataset }}" >> $GITHUB_OUTPUT
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echo "engine_config=${{ github.event.client_payload.engine_config }}" >> $GITHUB_OUTPUT
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echo "feature_flags_all=${{ github.event.client_payload.feature_flags_all }}" >> $GITHUB_OUTPUT
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echo "benchmark_set=$BENCHMARK_SET" >> $GITHUB_OUTPUT
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echo "current_index=$CURRENT_INDEX" >> $GITHUB_OUTPUT
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else
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# Workflow dispatch - get benchmark set from input and read from file
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BENCHMARK_SET="${{ inputs.benchmark_set }}"
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CURRENT_INDEX=${{ inputs.current_index || 0 }}
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if [ "$BENCHMARK_SET" = "single" ]; then
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# Single benchmark - use the input values directly
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echo "qdrant_version=${{ inputs.qdrant_version }}" >> $GITHUB_OUTPUT
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echo "dataset=${{ inputs.dataset }}" >> $GITHUB_OUTPUT
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echo "engine_config=${{ inputs.engine_config }}" >> $GITHUB_OUTPUT
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echo "feature_flags_all=${{ inputs.feature_flags_all }}" >> $GITHUB_OUTPUT
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echo "benchmark_set=single" >> $GITHUB_OUTPUT
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echo "current_index=0" >> $GITHUB_OUTPUT
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else
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# Benchmark set - read from config file
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if [ ! -f "$CONFIG_FILE" ]; then
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echo "Configuration file $CONFIG_FILE not found!"
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exit 1
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fi
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if ! jq empty "$CONFIG_FILE" 2>/dev/null; then
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echo "Invalid JSON in $CONFIG_FILE"
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exit 1
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fi
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BENCHMARK_CONFIGS=$(jq -r ".benchmark_sets.\"$BENCHMARK_SET\"" "$CONFIG_FILE")
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if [ "$BENCHMARK_CONFIGS" = "null" ]; then
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echo "Benchmark set '$BENCHMARK_SET' not found in configuration file"
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echo "Available sets:"
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jq -r '.benchmark_sets | keys[]' "$CONFIG_FILE"
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exit 1
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fi
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CURRENT_CONFIG=$(echo "$BENCHMARK_CONFIGS" | jq -r ".[$CURRENT_INDEX]")
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if [ "$CURRENT_CONFIG" = "null" ]; then
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echo "Invalid index $CURRENT_INDEX for benchmark set '$BENCHMARK_SET'"
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exit 1
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fi
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QDRANT_VERSION=$(echo "$CURRENT_CONFIG" | jq -r '.qdrant_version')
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DATASET=$(echo "$CURRENT_CONFIG" | jq -r '.dataset')
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ENGINE_CONFIG=$(echo "$CURRENT_CONFIG" | jq -r '.engine_config')
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FEATURE_FLAGS=$(echo "$CURRENT_CONFIG" | jq -r '.feature_flags_all')
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echo "qdrant_version=$QDRANT_VERSION" >> $GITHUB_OUTPUT
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echo "dataset=$DATASET" >> $GITHUB_OUTPUT
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echo "engine_config=$ENGINE_CONFIG" >> $GITHUB_OUTPUT
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echo "feature_flags_all=$FEATURE_FLAGS" >> $GITHUB_OUTPUT
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echo "benchmark_set=$BENCHMARK_SET" >> $GITHUB_OUTPUT
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echo "current_index=$CURRENT_INDEX" >> $GITHUB_OUTPUT
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fi
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fi
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- name: Run benchmark
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run: |
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export HCLOUD_TOKEN=${{ secrets.HCLOUD_TOKEN }}
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export POSTGRES_PASSWORD=${{ secrets.POSTGRES_PASSWORD }}
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export POSTGRES_HOST=${{ secrets.POSTGRES_HOST }}
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export QDRANT_VERSION=${{ steps.config.outputs.qdrant_version }}
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export DATASETS=${{ steps.config.outputs.dataset }}
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export ENGINE_NAME=${{ steps.config.outputs.engine_config }}
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export POSTGRES_TABLE=benchmark_manual
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export QDRANT__FEATURE_FLAGS__ALL=${{ steps.config.outputs.feature_flags_all }}
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bash -x tools/setup_ci.sh
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# bash -x tools/run_ci.sh
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# Trigger next benchmark in cascade if there are more to run
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- name: Trigger next benchmark
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if: steps.config.outputs.benchmark_set != 'single'
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run: |
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CONFIG_FILE="benchmark-configs.json"
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BENCHMARK_SET="${{ steps.config.outputs.benchmark_set }}"
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CURRENT_INDEX=${{ steps.config.outputs.current_index }}
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NEXT_INDEX=$((CURRENT_INDEX + 1))
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# Get the benchmark configurations for this set
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BENCHMARK_CONFIGS=$(jq -r ".benchmark_sets.\"$BENCHMARK_SET\"" "$CONFIG_FILE")
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TOTAL_CONFIGS=$(echo "$BENCHMARK_CONFIGS" | jq length)
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echo "Benchmark set: $BENCHMARK_SET"
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echo "Current index: $CURRENT_INDEX"
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echo "Next index: $NEXT_INDEX"
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echo "Total configs: $TOTAL_CONFIGS"
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if [ $NEXT_INDEX -lt $TOTAL_CONFIGS ]; then
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# Get next configuration
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NEXT_CONFIG=$(echo "$BENCHMARK_CONFIGS" | jq -r ".[$NEXT_INDEX]")
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NEXT_QDRANT_VERSION=$(echo "$NEXT_CONFIG" | jq -r '.qdrant_version')
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NEXT_DATASET=$(echo "$NEXT_CONFIG" | jq -r '.dataset')
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NEXT_ENGINE_CONFIG=$(echo "$NEXT_CONFIG" | jq -r '.engine_config')
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NEXT_FEATURE_FLAGS=$(echo "$NEXT_CONFIG" | jq -r '.feature_flags_all')
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echo "🚀 Triggering next benchmark ($NEXT_INDEX/$((TOTAL_CONFIGS-1))):"
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echo " - qdrant_version: $NEXT_QDRANT_VERSION"
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echo " - dataset: $NEXT_DATASET"
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echo " - engine_config: $NEXT_ENGINE_CONFIG"
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echo " - feature_flags_all: $NEXT_FEATURE_FLAGS"
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# Trigger next benchmark via repository dispatch
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curl -X POST \
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-H "Accept: application/vnd.github.v3+json" \
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-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
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https://api.github.com/repos/${{ github.repository }}/dispatches \
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-d "{
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\"event_type\": \"run-benchmark-cascade\",
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\"client_payload\": {
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\"qdrant_version\": \"$NEXT_QDRANT_VERSION\",
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\"dataset\": \"$NEXT_DATASET\",
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\"engine_config\": \"$NEXT_ENGINE_CONFIG\",
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\"feature_flags_all\": $NEXT_FEATURE_FLAGS,
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\"benchmark_set\": \"$BENCHMARK_SET\",
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\"current_index\": $NEXT_INDEX
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}
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}"
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else
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echo "🎉 All benchmarks in set '$BENCHMARK_SET' completed! ($TOTAL_CONFIGS total)"
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fi
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

‎benchmark-configs.json

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{
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"_comment": "Benchmark configuration sets for automated cascading",
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"_usage": "Select a benchmark_set when triggering the workflow. Use 'single' for one-off runs with manual inputs.",
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"benchmark_sets": {
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"full_regression": [
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "dbpedia-openai-1M-1536-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "deep-image-96-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": true
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "gist-960-euclidean",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "glove-100-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "docker/master",
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"dataset": "dbpedia-openai-1M-1536-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "docker/master",
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"dataset": "deep-image-96-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": true
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},
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{
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"qdrant_version": "docker/master",
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"dataset": "gist-960-euclidean",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "docker/master",
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"dataset": "glove-100-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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}
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],
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"smoke_test": [
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "laion-small-clip",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "laion-small-clip",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": true
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}
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],
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"dataset_comparison": [
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "dbpedia-openai-1M-1536-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "deep-image-96-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": true
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "gist-960-euclidean",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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},
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{
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"qdrant_version": "ghcr/dev",
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"dataset": "glove-100-angular",
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"engine_config": "qdrant-continuous-benchmark",
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"feature_flags_all": false
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}
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]
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}
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}

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