Format opea docker images name (opea-project#103)

Signed-off-by: Wang, Xigui <[email protected]>
Signed-off-by: V, Ganesan <[email protected]>

comps/dataprep/redis/README.md

@@ -36,7 +36,7 @@ python prepare_doc_redis.py
 
 ```bash
 cd ../../../../
-docker build -t opea/gen-ai-comps:dataprep-redis-xeon-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/dataprep/redis/docker/Dockerfile .
+docker build -t opea/dataprep-redis:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/dataprep/redis/docker/Dockerfile .
 ```
 
 ## Run Docker with CLI
@@ -48,7 +48,7 @@ export LANGCHAIN_TRACING_V2=true
 export LANGCHAIN_API_KEY=${your_langchain_api_key}
 export LANGCHAIN_PROJECT="opea/gen-ai-comps:dataprep"
 
-docker run -d --name="dataprep-redis-server" -p 6007:6007 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e REDIS_URL=$REDIS_URL -e INDEX_NAME=$INDEX_NAME opea/gen-ai-comps:dataprep-redis-xeon-server
+docker run -d --name="dataprep-redis-server" -p 6007:6007 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e REDIS_URL=$REDIS_URL -e INDEX_NAME=$INDEX_NAME opea/dataprep-redis:latest
 ```
 
 ## Run Docker with Docker Compose

comps/dataprep/redis/docker/docker-compose-dataprep-redis.yaml

@@ -21,7 +21,7 @@ services:
       - "6379:6379"
       - "8001:8001"
   dataprep-redis:
-    image: opea/gen-ai-comps:dataprep-redis-xeon-server
+    image: opea/dataprep-redis:latest
     container_name: dataprep-redis-server
     ports:
       - "6007:6007"

comps/embeddings/README.md

@@ -73,13 +73,13 @@ python embedding_tei_gaudi.py
 
 ```bash
 cd ../../
-docker build -t opea/gen-ai-comps:embedding-tei-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/langchain/docker/Dockerfile .
+docker build -t opea/embedding-tei:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/embeddings/langchain/docker/Dockerfile .
 ```
 
 ## Run Docker with CLI
 
 ```bash
-docker run -d --name="embedding-tei-server" -p 6000:6000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TEI_EMBEDDING_ENDPOINT=$TEI_EMBEDDING_ENDPOINT  opea/gen-ai-comps:embedding-tei-server
+docker run -d --name="embedding-tei-server" -p 6000:6000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TEI_EMBEDDING_ENDPOINT=$TEI_EMBEDDING_ENDPOINT opea/embedding-tei:latest
 ```
 
 ## Run Docker with Docker Compose

comps/embeddings/langchain/docker/docker_compose_embedding.yaml

@@ -16,7 +16,7 @@ version: "3.8"
 
 services:
   embedding:
-    image: opea/gen-ai-comps:embedding-tei-server
+    image: opea/embedding-tei:latest
     container_name: embedding-tei-server
     ports:
       - "6000:6000"

comps/llms/README.md

@@ -69,7 +69,7 @@ docker build -t opea/gen-ai-comps:llm-tgi-server --build-arg https_proxy=$https_
 ## Run Docker with CLI
 
 ```bash
-docker run -d --name="llm-tgi-server" -p 9000:9000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TGI_LLM_ENDPOINT=$TGI_LLM_ENDPOINT -e HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN opea/gen-ai-comps:llm-tgi-server
+docker run -d --name="llm-tgi-server" -p 9000:9000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TGI_LLM_ENDPOINT=$TGI_LLM_ENDPOINT -e HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN opea/llm-tgi:latest
 ```
 
 ## Run Docker with Docker Compose
@@ -97,13 +97,13 @@ The `streaming` parameter determines the format of the data returned by the API.
 
 ```bash
 # non-streaming mode
-curl http://${your_ip}:9000/v1/chat/completions\
+curl http://${your_ip}:9000/v1/chat/completions \
   -X POST \
   -d '{"query":"What is Deep Learning?","max_new_tokens":17,"top_k":10,"top_p":0.95,"typical_p":0.95,"temperature":0.01,"repetition_penalty":1.03,"streaming":false}' \
   -H 'Content-Type: application/json'
 
 # streaming mode
-curl http://${your_ip}:9000/v1/chat/completions\
+curl http://${your_ip}:9000/v1/chat/completions \
   -X POST \
   -d '{"query":"What is Deep Learning?","max_new_tokens":17,"top_k":10,"top_p":0.95,"typical_p":0.95,"temperature":0.01,"repetition_penalty":1.03,"streaming":true}' \
   -H 'Content-Type: application/json'

comps/reranks/README.md

@@ -57,7 +57,7 @@ docker build -t opea/gen-ai-comps:reranking-tei-xeon-server --build-arg https_pr
 ## Run Docker with CLI
 
 ```bash
-docker run -d --name="reranking-tei-server" -p 8000:8000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TEI_RERANKING_ENDPOINT=$TEI_RERANKING_ENDPOINT -e HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN opea/gen-ai-comps:reranking-tei-xeon-server
+docker run -d --name="reranking-tei-server" -p 8000:8000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TEI_RERANKING_ENDPOINT=$TEI_RERANKING_ENDPOINT -e HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN opea/reranking-tei:latest
 ```
 
 ## Run Docker with Docker Compose
@@ -72,15 +72,15 @@ docker compose -f docker_compose_reranking.yaml up -d
 ## Check Service Status
 
 ```bash
-curl http://localhost:8000/v1/health_check\
+curl http://localhost:8000/v1/health_check \
   -X GET \
   -H 'Content-Type: application/json'
 ```
 
 ## Consume Reranking Service
 
 ```bash
-curl http://localhost:8000/v1/reranking\
+curl http://localhost:8000/v1/reranking \
   -X POST \
   -d '{"initial_query":"What is Deep Learning?", "retrieved_docs": [{"text":"Deep Learning is not..."}, {"text":"Deep learning is..."}]}' \
   -H 'Content-Type: application/json'

comps/reranks/langchain/docker/docker_compose_reranking.yaml

@@ -25,7 +25,7 @@ services:
     shm_size: 1g
     command: --model-id ${RERANK_MODEL_ID}
   reranking:
-    image: opea/gen-ai-comps:reranking-tei-xeon-server
+    image: opea/reranking-tei:latest
     container_name: reranking-tei-xeon-server
     ports:
       - "8000:8000"

comps/retrievers/README.md

@@ -49,13 +49,13 @@ python langchain/retriever_redis.py
 
 ```bash
 cd ../../
-docker build -t opea/gen-ai-comps:retriever-redis-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/retrievers/langchain/docker/Dockerfile .
+docker build -t opea/retriever-redis:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/retrievers/langchain/docker/Dockerfile .
 ```
 
 ## Run Docker with CLI
 
 ```bash
-docker run -d --name="retriever-redis-server" -p 7000:7000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e REDIS_URL=$REDIS_URL -e INDEX_NAME=$INDEX_NAME opea/gen-ai-comps:retriever-redis-server
+docker run -d --name="retriever-redis-server" -p 7000:7000 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e REDIS_URL=$REDIS_URL -e INDEX_NAME=$INDEX_NAME opea/retriever-redis:latest
 ```
 
 ## Run Docker with Docker Compose
@@ -70,7 +70,7 @@ docker compose -f docker_compose_retriever.yaml up -d
 ## Check Service Status
 
 ```bash
-curl http://localhost:7000/v1/health_check\
+curl http://localhost:7000/v1/health_check \
   -X GET \
   -H 'Content-Type: application/json'
 ```
@@ -85,10 +85,10 @@ embedding = [random.uniform(-1, 1) for _ in range(768)]
 print(embedding)
 ```
 
-Then substitute your mock embedding vector for the `${your_embedding}` in the following cURL command:
+Then substitute your mock embedding vector for the `${your_embedding}` in the following `curl` command:
 
 ```bash
-curl http://${your_ip}:7000/v1/retrieval\
+curl http://${your_ip}:7000/v1/retrieval \
   -X POST \
   -d '{"text":"What is the revenue of Nike in 2023?","embedding":${your_embedding}}' \
   -H 'Content-Type: application/json'

comps/retrievers/langchain/docker/docker_compose_retriever.yaml

@@ -16,7 +16,7 @@ version: "3.8"
 
 services:
   retriever:
-    image: opea/gen-ai-comps:retriever-redis-server
+    image: opea/retriever-redis:latest
     container_name: retriever-redis-server
     ports:
       - "7000:7000"