mirror of
https://github.com/qdrant/qdrant.git
synced 2026-07-23 11:11:00 -05:00
* `QDRANT_HOST` variable is used by all openapi tests, removed its copies from
`test_multi_vector_uint8.py`, `test_multi_vector_unnamed.py`, `test_query.py`,
`test_shard_snapshot.py`, and `test_snapshot.py`
* Added optional `QDRANT_HOST_HEADERS` env variable to set custom HTTP headers
in order to reach Qdrant instance behind a reverse proxy. The content of the
variable is JSON payload, e.g. `{"host": "qdrant.local"}`
* Adapted `./tests/basic_*.sh` scripts to aware of `QDRANT_HOST_HEADERS` env variable
225 lines
6.0 KiB
Bash
Executable File
225 lines
6.0 KiB
Bash
Executable File
#!/usr/bin/env bash
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# This test checks that Qdrant answers to all API mentioned in README.md as expected
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set -ex
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QDRANT_HOST=${QDRANT_HOST:-'localhost:6333'}
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COLLECTION_NAME=${COLLECTION_NAME:-'sparse_collection'}
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qdrant_host_headers=()
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if [ -n "${QDRANT_HOST_HEADERS}" ]; then
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while read h; do
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qdrant_host_headers+=("-H" "$h")
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done <<< $(echo "${QDRANT_HOST_HEADERS}" | jq -r 'to_entries|map("\(.key): \(.value)")[]')
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fi
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# cleanup collection if it exists
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curl -X DELETE "http://$QDRANT_HOST/collections/$COLLECTION_NAME" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--fail -s | jq
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# TODO(sparse) add validation and tests for case where dense and sparse vectors have the same name
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# create collection
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curl -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"sparse_vectors": {
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"text": { }
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},
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"optimizers_config": {
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"default_segment_number": 2
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},
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"replication_factor": 2
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}' | jq
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curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"field_name": "city",
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"field_schema": "keyword"
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}' | jq
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curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"field_name": "count",
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"field_schema": "integer"
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}' | jq
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curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"field_name": "coords",
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"field_schema": "geo"
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}' | jq
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curl --fail -s "http://$QDRANT_HOST/collections/$COLLECTION_NAME" "${qdrant_host_headers[@]}" | jq
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# insert points
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curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points?wait=true" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"points": [
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{
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"id": 1,
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"vector": {
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"text": {
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"values": [0.05, 0.61, 0.76, 0.74],
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"indices": [0, 1, 2, 3]
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}
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},
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"payload": {
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"city": "Berlin",
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"country": "Germany" ,
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"count": 1000000,
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"square": 12.5,
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"coords": { "lat": 1.0, "lon": 2.0 }
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}
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},
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{
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"id": 2,
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"vector": {
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"text": {
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"values": [0.19, 0.81, 0.75, 0.11],
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"indices": [0, 1, 2, 3]
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}
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},
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"payload": {"city": ["Berlin", "London"]}
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},
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{
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"id": 3,
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"vector": {
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"text": {
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"values": [0.36, 0.55, 0.47, 0.94],
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"indices": [0, 1, 2, 3]
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}
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},
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"payload": {"city": ["Berlin", "Moscow"]}
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},
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{
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"id": 4,
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"vector": {
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"text": {
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"values": [0.18, 0.01, 0.85, 0.80],
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"indices": [0, 1, 2, 3]
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}
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},
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"payload": {"city": ["London", "Moscow"]}
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},
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{
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"id": "98a9a4b1-4ef2-46fb-8315-a97d874fe1d7",
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"vector": {
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"text": {
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"values": [0.24, 0.18, 0.22, 0.44],
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"indices": [0, 1, 2, 3]
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}
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},
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"payload": {"count": [0]}
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},
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{
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"id": "f0e09527-b096-42a8-94e9-ea94d342b925",
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"vector": {
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"text": {
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"values": [0.35, 0.08, 0.11, 0.44],
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"indices": [0, 1, 2, 3]
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}
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}
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}
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]
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}' | jq
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# retrieve point
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curl -L -X GET "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/2" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s | jq
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# retrieve points
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curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"ids": [1, 2],
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"with_vectors": true
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}' | jq
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SAVED_POINTS_COUNT=$(curl --fail -s "http://$QDRANT_HOST/collections/$COLLECTION_NAME" "${qdrant_host_headers[@]}" | jq '.result.points_count')
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[[ "$SAVED_POINTS_COUNT" == "6" ]] || {
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echo 'check failed - 6 points expected'
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exit 1
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}
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# search points
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curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"vector": {
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"name": "text",
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"vector": {
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"values": [0.2, 0.1, 0.9, 0.7],
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"indices": [0, 1, 2, 3]
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}
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},
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"top": 3
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}' | jq
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# search points batch
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curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search/batch" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"searches": [
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{
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"vector": {
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"name": "text",
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"vector": {
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"values": [0.2, 0.1, 0.9, 0.7],
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"indices": [0, 1, 2, 3]
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}
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},
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"top": 3
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},
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{
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"vector": {
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"name": "text",
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"vector": {
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"values": [0.2 ,0.1, 0.9, 0.7],
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"indices": [0, 1, 2, 3]
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}
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},
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"top": 3
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}
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]
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}' | jq
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curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search" \
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-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
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--fail -s \
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--data-raw '{
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"filter": {
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"should": [
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{
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"key": "city",
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"match": {
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"value": "London"
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}
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}
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]
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},
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"vector": {
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"name": "text",
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"vector": {
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"values": [0.2, 0.1, 0.9, 0.7],
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"indices": [0, 1, 2, 3]
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}
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},
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"top": 3
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}' | jq
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