Hi there, just create a rather simple example with the template where we also get the same error

export TYPESENSE_API_KEY=xyz
mkdir -p "$(pwd)"/typesense-data

docker run -p 8108:8108 \
  -v "$(pwd)"/typesense-data:/data typesense/typesense:27.1 \
  --data-dir /data \
  --api-key=$TYPESENSE_API_KEY \
  --enable-cors
  
  
curl "<http://localhost:8108/collections>" -X POST \
  -H "X-TYPESENSE-API-KEY: ${TYPESENSE_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "nested_test",
    "fields": [
      {"name": "id", "type": "string"},
      {"name": "title", "type": "string"},
      {"name": "Summary", "type": "string"},
      {"name": "Dense_Summary_Embedding", "type": "float[]", "num_dim": 5},
      {
        "name": "chunks",
        "type": "object[]",
        "fields": [
          {"name": "text", "type": "string"},
          {"name": "vector", "type": "float[]", "num_dim": 5}
        ]
      }
    ],
    "enable_nested_fields": true
  }'
  
  
curl "<http://localhost:8108/collections/nested_test/documents>" -X POST \
  -H "X-TYPESENSE-API-KEY: ${TYPESENSE_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "id": "1",
    "title": "Test Document",
    "Summary": "This is an example summary of document 1",
    "Dense_Summary_Embedding": [0.1, 0.2, 0.3, 0.4, 0.5],
    "chunks": [
      {"text": "First chunk", "vector": [0.1, 0.2, 0.3, 0.1, 0.2]},
      {"text": "Second chunk", "vector": [0.4, 0.5, 0.6, 0.4, 0.5]}
    ]
  }'
  
  
curl "<http://localhost:8108/multi_search>" -X POST \
  -H "X-TYPESENSE-API-KEY: ${TYPESENSE_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "searches": [
      {
        "collection": "nested_test",
        "q": "*",
        "vector_query": "chunks.vector:([0.1, 0.2, 0.3, 0.1, 0.2], k:10)"
      }
    ]
  }'

And the error message: `{"results":[{"code":400,"error":"Field

chunks.vector

does not have a vector query index."}]}`