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Support ChatQnA pipeline without rerank microservice (#643)
Signed-off-by: lvliang-intel <liang1.lv@intel.com>
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# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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FROM python:3.11-slim | ||
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RUN apt-get update -y && apt-get install -y --no-install-recommends --fix-missing \ | ||
libgl1-mesa-glx \ | ||
libjemalloc-dev \ | ||
vim \ | ||
git | ||
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RUN useradd -m -s /bin/bash user && \ | ||
mkdir -p /home/user && \ | ||
chown -R user /home/user/ | ||
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WORKDIR /home/user/ | ||
RUN git clone https://github.com/opea-project/GenAIComps.git | ||
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WORKDIR /home/user/GenAIComps | ||
RUN pip install --no-cache-dir --upgrade pip && \ | ||
pip install --no-cache-dir -r /home/user/GenAIComps/requirements.txt | ||
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COPY ./chatqna_without_rerank.py /home/user/chatqna_without_rerank.py | ||
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ENV PYTHONPATH=$PYTHONPATH:/home/user/GenAIComps | ||
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USER user | ||
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WORKDIR /home/user | ||
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ENTRYPOINT ["python", "chatqna_without_rerank.py"] |
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# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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import os | ||
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from comps import ChatQnAGateway, MicroService, ServiceOrchestrator, ServiceType | ||
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MEGA_SERVICE_HOST_IP = os.getenv("MEGA_SERVICE_HOST_IP", "0.0.0.0") | ||
MEGA_SERVICE_PORT = int(os.getenv("MEGA_SERVICE_PORT", 8888)) | ||
EMBEDDING_SERVICE_HOST_IP = os.getenv("EMBEDDING_SERVICE_HOST_IP", "0.0.0.0") | ||
EMBEDDING_SERVICE_PORT = int(os.getenv("EMBEDDING_SERVICE_PORT", 6000)) | ||
RETRIEVER_SERVICE_HOST_IP = os.getenv("RETRIEVER_SERVICE_HOST_IP", "0.0.0.0") | ||
RETRIEVER_SERVICE_PORT = int(os.getenv("RETRIEVER_SERVICE_PORT", 7000)) | ||
LLM_SERVICE_HOST_IP = os.getenv("LLM_SERVICE_HOST_IP", "0.0.0.0") | ||
LLM_SERVICE_PORT = int(os.getenv("LLM_SERVICE_PORT", 9000)) | ||
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class ChatQnAService: | ||
def __init__(self, host="0.0.0.0", port=8000): | ||
self.host = host | ||
self.port = port | ||
self.megaservice = ServiceOrchestrator() | ||
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def add_remote_service(self): | ||
embedding = MicroService( | ||
name="embedding", | ||
host=EMBEDDING_SERVICE_HOST_IP, | ||
port=EMBEDDING_SERVICE_PORT, | ||
endpoint="/v1/embeddings", | ||
use_remote_service=True, | ||
service_type=ServiceType.EMBEDDING, | ||
) | ||
retriever = MicroService( | ||
name="retriever", | ||
host=RETRIEVER_SERVICE_HOST_IP, | ||
port=RETRIEVER_SERVICE_PORT, | ||
endpoint="/v1/retrieval", | ||
use_remote_service=True, | ||
service_type=ServiceType.RETRIEVER, | ||
) | ||
llm = MicroService( | ||
name="llm", | ||
host=LLM_SERVICE_HOST_IP, | ||
port=LLM_SERVICE_PORT, | ||
endpoint="/v1/chat/completions", | ||
use_remote_service=True, | ||
service_type=ServiceType.LLM, | ||
) | ||
self.megaservice.add(embedding).add(retriever).add(llm) | ||
self.megaservice.flow_to(embedding, retriever) | ||
self.megaservice.flow_to(retriever, llm) | ||
self.gateway = ChatQnAGateway(megaservice=self.megaservice, host="0.0.0.0", port=self.port) | ||
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if __name__ == "__main__": | ||
chatqna = ChatQnAService(host=MEGA_SERVICE_HOST_IP, port=MEGA_SERVICE_PORT) | ||
chatqna.add_remote_service() |
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# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
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services: | ||
redis-vector-db: | ||
image: redis/redis-stack:7.2.0-v9 | ||
container_name: redis-vector-db | ||
ports: | ||
- "6379:6379" | ||
- "8001:8001" | ||
dataprep-redis-service: | ||
image: ${REGISTRY:-opea}/dataprep-redis:${TAG:-latest} | ||
container_name: dataprep-redis-server | ||
depends_on: | ||
- redis-vector-db | ||
- tei-embedding-service | ||
ports: | ||
- "6007:6007" | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
REDIS_URL: ${REDIS_URL} | ||
INDEX_NAME: ${INDEX_NAME} | ||
TEI_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT} | ||
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} | ||
tei-embedding-service: | ||
image: ${REGISTRY:-opea}/tei-gaudi:${TAG:-latest} | ||
container_name: tei-embedding-gaudi-server | ||
ports: | ||
- "8090:80" | ||
volumes: | ||
- "./data:/data" | ||
runtime: habana | ||
cap_add: | ||
- SYS_NICE | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
HABANA_VISIBLE_DEVICES: all | ||
OMPI_MCA_btl_vader_single_copy_mechanism: none | ||
MAX_WARMUP_SEQUENCE_LENGTH: 512 | ||
INIT_HCCL_ON_ACQUIRE: 0 | ||
ENABLE_EXPERIMENTAL_FLAGS: true | ||
command: --model-id ${EMBEDDING_MODEL_ID} --auto-truncate | ||
embedding: | ||
image: ${REGISTRY:-opea}/embedding-tei:${TAG:-latest} | ||
container_name: embedding-tei-server | ||
depends_on: | ||
- tei-embedding-service | ||
ports: | ||
- "6000:6000" | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT} | ||
restart: unless-stopped | ||
retriever: | ||
image: ${REGISTRY:-opea}/retriever-redis:${TAG:-latest} | ||
container_name: retriever-redis-server | ||
depends_on: | ||
- redis-vector-db | ||
ports: | ||
- "7000:7000" | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
REDIS_URL: ${REDIS_URL} | ||
INDEX_NAME: ${INDEX_NAME} | ||
restart: unless-stopped | ||
tgi-service: | ||
image: ghcr.io/huggingface/tgi-gaudi:2.0.1 | ||
container_name: tgi-gaudi-server | ||
ports: | ||
- "8005:80" | ||
volumes: | ||
- "./data:/data" | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} | ||
HF_HUB_DISABLE_PROGRESS_BARS: 1 | ||
HF_HUB_ENABLE_HF_TRANSFER: 0 | ||
HABANA_VISIBLE_DEVICES: all | ||
OMPI_MCA_btl_vader_single_copy_mechanism: none | ||
runtime: habana | ||
cap_add: | ||
- SYS_NICE | ||
ipc: host | ||
command: --model-id ${LLM_MODEL_ID} --max-input-length 1024 --max-total-tokens 2048 | ||
llm: | ||
image: ${REGISTRY:-opea}/llm-tgi:${TAG:-latest} | ||
container_name: llm-tgi-gaudi-server | ||
depends_on: | ||
- tgi-service | ||
ports: | ||
- "9000:9000" | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT} | ||
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} | ||
HF_HUB_DISABLE_PROGRESS_BARS: 1 | ||
HF_HUB_ENABLE_HF_TRANSFER: 0 | ||
restart: unless-stopped | ||
chaqna-gaudi-backend-server: | ||
image: ${REGISTRY:-opea}/chatqna-without-rerank:${TAG:-latest} | ||
container_name: chatqna-gaudi-backend-server | ||
depends_on: | ||
- redis-vector-db | ||
- tei-embedding-service | ||
- embedding | ||
- retriever | ||
- tgi-service | ||
- llm | ||
ports: | ||
- "8888:8888" | ||
environment: | ||
- no_proxy=${no_proxy} | ||
- https_proxy=${https_proxy} | ||
- http_proxy=${http_proxy} | ||
- MEGA_SERVICE_HOST_IP=${MEGA_SERVICE_HOST_IP} | ||
- EMBEDDING_SERVICE_HOST_IP=${EMBEDDING_SERVICE_HOST_IP} | ||
- RETRIEVER_SERVICE_HOST_IP=${RETRIEVER_SERVICE_HOST_IP} | ||
- LLM_SERVICE_HOST_IP=${LLM_SERVICE_HOST_IP} | ||
ipc: host | ||
restart: always | ||
chaqna-gaudi-ui-server: | ||
image: ${REGISTRY:-opea}/chatqna-ui:${TAG:-latest} | ||
container_name: chatqna-gaudi-ui-server | ||
depends_on: | ||
- chaqna-gaudi-backend-server | ||
ports: | ||
- "5173:5173" | ||
environment: | ||
- no_proxy=${no_proxy} | ||
- https_proxy=${https_proxy} | ||
- http_proxy=${http_proxy} | ||
- CHAT_BASE_URL=${BACKEND_SERVICE_ENDPOINT} | ||
- UPLOAD_FILE_BASE_URL=${DATAPREP_SERVICE_ENDPOINT} | ||
- GET_FILE=${DATAPREP_GET_FILE_ENDPOINT} | ||
- DELETE_FILE=${DATAPREP_DELETE_FILE_ENDPOINT} | ||
ipc: host | ||
restart: always | ||
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networks: | ||
default: | ||
driver: bridge |
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