217 lines
6.8 KiB
YAML
217 lines
6.8 KiB
YAML
# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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services:
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neo4j-apoc:
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image: neo4j:latest
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container_name: neo4j-apoc
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ports:
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- "${NEO4J_PORT1:-7474}:7474"
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- "${NEO4J_PORT2:-7687}:7687"
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volumes:
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- ./data/neo4j/logs:/logs
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- ./data/neo4j/config:/config
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- ./data/neo4j/data:/data
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- ./data/neo4j/plugins:/plugins
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ipc: host
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environment:
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- no_proxy=${no_proxy}
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- http_proxy=${http_proxy}
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- https_proxy=${https_proxy}
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- NEO4J_AUTH=${NEO4J_USERNAME}/${NEO4J_PASSWORD}
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- NEO4J_PLUGINS=["apoc"]
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- NEO4J_apoc_export_file_enabled=true
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- NEO4J_apoc_import_file_enabled=true
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- NEO4J_apoc_import_file_use__neo4j__config=true
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- NEO4J_dbms_security_procedures_unrestricted=apoc.\*
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- NEO4J_server_bolt_advertised__address=localhost:${NEO4J_PORT2}
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restart: always
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healthcheck:
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test: wget http://localhost:7474 || exit 1
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interval: 5s
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timeout: 10s
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retries: 20
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start_period: 3s
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tei-embedding-serving:
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image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
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container_name: tei-embedding-serving
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entrypoint: /bin/sh -c "apt-get update && apt-get install -y curl && text-embeddings-router --json-output --model-id ${EMBEDDING_MODEL_ID} --auto-truncate"
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ports:
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- "${TEI_EMBEDDER_PORT:-12000}:80"
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volumes:
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- "${MODEL_CACHE:-./data}:/data"
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shm_size: 1g
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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host_ip: ${host_ip}
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HF_TOKEN: ${HF_TOKEN}
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healthcheck:
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test: ["CMD", "curl", "-f", "http://${host_ip}:${TEI_EMBEDDER_PORT}/health"]
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interval: 10s
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timeout: 6s
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retries: 48
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tgi-gaudi-server:
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image: ghcr.io/huggingface/tgi-gaudi:2.3.1
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container_name: tgi-gaudi-server
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ports:
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- ${LLM_ENDPOINT_PORT:-8008}:80
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volumes:
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- "${MODEL_CACHE:-./data}:/data"
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
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HF_TOKEN: ${HF_TOKEN}
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HF_HUB_DISABLE_PROGRESS_BARS: 1
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HF_HUB_ENABLE_HF_TRANSFER: 0
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HABANA_VISIBLE_DEVICES: all
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OMPI_MCA_btl_vader_single_copy_mechanism: none
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ENABLE_HPU_GRAPH: true
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LIMIT_HPU_GRAPH: true
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USE_FLASH_ATTENTION: true
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FLASH_ATTENTION_RECOMPUTE: true
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host_ip: ${host_ip}
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LLM_ENDPOINT_PORT: ${LLM_ENDPOINT_PORT}
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MAX_INPUT_TOKENS: ${MAX_INPUT_TOKENS:-2048}
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MAX_TOTAL_TOKENS: ${MAX_TOTAL_TOKENS:-4096}
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TEXT_GENERATION_SERVER_IGNORE_EOS_TOKEN: false
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runtime: habana
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cap_add:
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- SYS_NICE
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ipc: host
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healthcheck:
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test: ["CMD-SHELL", "curl -f http://${host_ip}:${LLM_ENDPOINT_PORT}/health || exit 1"]
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interval: 10s
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timeout: 10s
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retries: 100
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command: --model-id ${LLM_MODEL_ID}
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dataprep-neo4j-llamaindex:
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image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
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container_name: dataprep-neo4j-llamaindex
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depends_on:
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neo4j-apoc:
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condition: service_healthy
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tgi-gaudi-server:
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condition: service_healthy
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tei-embedding-serving:
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condition: service_healthy
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ports:
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- "${DATAPREP_PORT:-11103}:5000"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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host_ip: ${host_ip}
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DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_NEO4J_LLAMAINDEX"
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NEO4J_URL: ${NEO4J_URL}
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NEO4J_USERNAME: ${NEO4J_USERNAME}
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NEO4J_PASSWORD: ${NEO4J_PASSWORD}
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TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
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TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
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OPENAI_API_KEY: ${OPENAI_API_KEY}
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OPENAI_EMBEDDING_MODEL: ${OPENAI_EMBEDDING_MODEL}
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OPENAI_LLM_MODEL: ${OPENAI_LLM_MODEL}
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EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
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LLM_MODEL_ID: ${LLM_MODEL_ID}
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LOGFLAG: ${LOGFLAG}
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HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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HF_TOKEN: ${HF_TOKEN}
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MAX_INPUT_TOKENS: ${MAX_INPUT_TOKENS:-4096}
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restart: unless-stopped
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retriever-neo4j:
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image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
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container_name: retriever-neo4j
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ports:
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- "${RETRIEVER_PORT:-7000}:7000"
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ipc: host
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environment:
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no_proxy: ${no_proxy}
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http_proxy: ${http_proxy}
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https_proxy: ${https_proxy}
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HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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LOGFLAG: ${LOGFLAG:-False}
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RETRIEVER_COMPONENT_NAME: ${RETRIEVER_COMPONENT_NAME:-OPEA_RETRIEVER_NEO4J}
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TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
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TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
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EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
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LLM_MODEL_ID: ${LLM_MODEL_ID}
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NEO4J_URI: ${NEO4J_URI}
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NEO4J_URL: ${NEO4J_URI}
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NEO4J_USERNAME: ${NEO4J_USERNAME}
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NEO4J_PASSWORD: ${NEO4J_PASSWORD}
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VDMS_USE_CLIP: 0
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host_ip: ${host_ip}
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depends_on:
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neo4j-apoc:
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condition: service_healthy
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tei-embedding-serving:
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condition: service_healthy
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tgi-gaudi-server:
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condition: service_healthy
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graphrag-gaudi-backend-server:
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image: ${REGISTRY:-opea}/graphrag:${TAG:-latest}
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container_name: graphrag-gaudi-backend-server
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depends_on:
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- neo4j-apoc
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- tei-embedding-serving
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- retriever-neo4j
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- tgi-gaudi-server
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ports:
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- "8888:8888"
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- "${MEGA_SERVICE_PORT:-8888}:8888"
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environment:
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- no_proxy=${no_proxy}
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- https_proxy=${https_proxy}
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- http_proxy=${http_proxy}
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- MEGA_SERVICE_HOST_IP=graphrag-gaudi-backend-server
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- RETRIEVER_SERVICE_HOST_IP=retriever-neo4j
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- RETRIEVER_SERVICE_PORT=7000
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- LLM_SERVER_HOST_IP=tgi-gaudi-server
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- LLM_SERVER_PORT=80
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- LLM_MODEL_ID=${LLM_MODEL_ID}
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- LOGFLAG=${LOGFLAG}
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ipc: host
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restart: always
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graphrag-ui-server:
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image: ${REGISTRY:-opea}/graphrag-ui:${TAG:-latest}
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container_name: graphrag-ui-server
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depends_on:
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- graphrag-gaudi-backend-server
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ports:
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- "5173:5173"
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environment:
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- no_proxy=${no_proxy}
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- https_proxy=${https_proxy}
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- http_proxy=${http_proxy}
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ipc: host
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restart: always
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chatqna-gaudi-nginx-server:
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image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
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container_name: chatqna-gaudi-nginx-server
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depends_on:
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- graphrag-gaudi-backend-server
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- graphrag-ui-server
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ports:
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- "${NGINX_PORT:-80}:80"
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environment:
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- no_proxy=${no_proxy}
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- https_proxy=${https_proxy}
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- http_proxy=${http_proxy}
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- FRONTEND_SERVICE_IP=graphrag-ui-server
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- FRONTEND_SERVICE_PORT=5173
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- BACKEND_SERVICE_NAME=graphrag
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- BACKEND_SERVICE_IP=graphrag-gaudi-backend-server
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- BACKEND_SERVICE_PORT=8888
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- DATAPREP_SERVICE_IP=dataprep-neo4j-llamaindex
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- DATAPREP_SERVICE_PORT=5000
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ipc: host
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restart: always
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networks:
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default:
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driver: bridge
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