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4 changes: 3 additions & 1 deletion MultimodalQnA/docker_compose/intel/cpu/xeon/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -241,7 +241,7 @@ docker compose -f compose.yaml up -d
export MILVUS_HOST=${host_ip}
export MILVUS_PORT=19530
export MILVUS_RETRIEVER_PORT=7000
export COLLECTION_NAME=mm_rag_milvus
export COLLECTION_NAME=LangChainCollection
cd GenAIExamples/MultimodalQnA/docker_compose/intel/cpu/xeon/
docker compose -f compose_milvus.yaml up -d
```
Expand Down Expand Up @@ -385,6 +385,8 @@ curl --silent --write-out "HTTPSTATUS:%{http_code}" \

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`).

> Note: Audio captions for images are currently only supported when using the Redis data prep backend.

```bash
curl --silent --write-out "HTTPSTATUS:%{http_code}" \
${DATAPREP_INGEST_SERVICE_ENDPOINT} \
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -226,6 +226,8 @@ services:
- DATAPREP_INGEST_SERVICE_ENDPOINT=${DATAPREP_INGEST_SERVICE_ENDPOINT}
- DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT=${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT}
- DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT=${DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT}
- DATAPREP_GET_FILE_ENDPOINT=${DATAPREP_GET_FILE_ENDPOINT}
- DATAPREP_DELETE_FILE_ENDPOINT=${DATAPREP_DELETE_FILE_ENDPOINT}
- MEGA_SERVICE_PORT:=${MEGA_SERVICE_PORT}
- UI_PORT=${UI_PORT}
- DATAPREP_MMR_PORT=${DATAPREP_MMR_PORT}
Expand Down