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Fixes for MultimodalQnA with the Milvus vector db (#1859)
Signed-off-by: Dina Suehiro Jones <[email protected]>
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MultimodalQnA/docker_compose/intel/cpu/xeon/README.md

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@@ -241,7 +241,7 @@ docker compose -f compose.yaml up -d
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export MILVUS_HOST=${host_ip}
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export MILVUS_PORT=19530
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export MILVUS_RETRIEVER_PORT=7000
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export COLLECTION_NAME=mm_rag_milvus
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export COLLECTION_NAME=LangChainCollection
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cd GenAIExamples/MultimodalQnA/docker_compose/intel/cpu/xeon/
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docker compose -f compose_milvus.yaml up -d
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```
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Now, test the microservice with posting a custom caption along with an image and a PDF containing images and text. The image caption can be provided as a text (`.txt`) or as spoken audio (`.wav` or `.mp3`).
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> Note: Audio captions for images are currently only supported when using the Redis data prep backend.
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```bash
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curl --silent --write-out "HTTPSTATUS:%{http_code}" \
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${DATAPREP_INGEST_SERVICE_ENDPOINT} \

MultimodalQnA/docker_compose/intel/cpu/xeon/compose_milvus.yaml

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@@ -226,6 +226,8 @@ services:
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- DATAPREP_INGEST_SERVICE_ENDPOINT=${DATAPREP_INGEST_SERVICE_ENDPOINT}
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- DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT=${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT}
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- DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT=${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT}
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- DATAPREP_GET_FILE_ENDPOINT=${DATAPREP_GET_FILE_ENDPOINT}
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- DATAPREP_DELETE_FILE_ENDPOINT=${DATAPREP_DELETE_FILE_ENDPOINT}
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- MEGA_SERVICE_PORT:=${MEGA_SERVICE_PORT}
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- UI_PORT=${UI_PORT}
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- DATAPREP_MMR_PORT=${DATAPREP_MMR_PORT}

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