[docs] Multimodal Endpoints Issue (#1700)

Signed-off-by: Pranav Singh <[email protected]>
Co-authored-by: Ying Hu <[email protected]>

Author: theBeginner86

MultimodalQnA/README.md

@@ -90,7 +90,7 @@ In the below, we provide a table that describes for each microservice component
 | MicroService | Open Source Project   | HW    | Port | Endpoint                                                    |
 | ------------ | --------------------- | ----- | ---- | ----------------------------------------------------------- |
 | Embedding    | Langchain             | Xeon  | 6000 | /v1/embeddings                                              |
-| Retriever    | Langchain, Redis      | Xeon  | 7000 | /v1/multimodal_retrieval                                    |
+| Retriever    | Langchain, Redis      | Xeon  | 7000 | /v1/retrieval                                               |
 | LVM          | Langchain, TGI        | Gaudi | 9399 | /v1/lvm                                                     |
 | Dataprep     | Redis, Langchain, TGI | Gaudi | 6007 | /v1/generate_transcripts, /v1/generate_captions, /v1/ingest |
 

MultimodalQnA/docker_compose/amd/gpu/rocm/README.md

@@ -178,7 +178,7 @@ curl http://${host_ip}:$MM_EMBEDDING_PORT_MICROSERVICE/v1/embeddings \
 
 ```bash
 export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)")
-curl http://${host_ip}:7000/v1/multimodal_retrieval \
+curl http://${host_ip}:7000/v1/retrieval \
     -X POST \
     -H "Content-Type: application/json" \
     -d "{\"text\":\"test\",\"embedding\":${your_embedding}}"

MultimodalQnA/docker_compose/intel/cpu/xeon/README.md

@@ -264,7 +264,7 @@ curl http://${host_ip}:$MM_EMBEDDING_PORT_MICROSERVICE/v1/embeddings \
 
 ```bash
 export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)")
-curl http://${host_ip}:${REDIS_RETRIEVER_PORT}/v1/multimodal_retrieval \
+curl http://${host_ip}:${REDIS_RETRIEVER_PORT}/v1/retrieval \
     -X POST \
     -H "Content-Type: application/json" \
     -d "{\"text\":\"test\",\"embedding\":${your_embedding}}"

MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md

@@ -210,7 +210,7 @@ curl http://${host_ip}:$MM_EMBEDDING_PORT_MICROSERVICE/v1/embeddings \
 
 ```bash
 export your_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(512)]; print(embedding)")
-curl http://${host_ip}:7000/v1/multimodal_retrieval \
+curl http://${host_ip}:7000/v1/retrieval \
     -X POST \
     -H "Content-Type: application/json" \
     -d "{\"text\":\"test\",\"embedding\":${your_embedding}}"
@@ -336,6 +336,7 @@ To delete all uploaded files along with data indexed with `$INDEX_NAME` in REDIS
 ```bash
 curl -X POST \
     -H "Content-Type: application/json" \
+    -d '{"file_path": "all"}' \
     ${DATAPREP_DELETE_FILE_ENDPOINT}
 ```