Files
GenAIExamples/GraphRAG/docker_compose/intel/hpu/gaudi/compose.yaml
XinyaoWa d0cd0aaf53 Update GraphRAG to be compatible with latest component changes (#1427)
- Updated ENV VARS to align with recent changes in neo4j dataprep and retriever.
- upgraded tgi-gaudi image version
Related to GenAIComps repo issue #1025 (opea-project/GenAIComps#1025)

Original PR #1384
Original contributor is @rbrugaro

Signed-off-by: Xinyao Wang <xinyao.wang@intel.com>
Co-authored-by: Liang Lv <liang1.lv@intel.com>
2025-01-21 00:18:01 +08:00

191 lines
5.9 KiB
YAML

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
services:
neo4j-apoc:
image: neo4j:latest
container_name: neo4j-apoc
volumes:
- /$HOME/neo4j/logs:/logs
- /$HOME/neo4j/config:/config
- /$HOME/neo4j/data:/data
- /$HOME/neo4j/plugins:/plugins
ipc: host
environment:
- NEO4J_AUTH=${NEO4J_USERNAME}/${NEO4J_PASSWORD}
- NEO4J_PLUGINS=["apoc"]
- NEO4J_apoc_export_file_enabled=true
- NEO4J_apoc_import_file_enabled=true
- NEO4J_apoc_import_file_use__neo4j__config=true
- NEO4J_dbms_security_procedures_unrestricted=apoc.\*
ports:
- "7474:7474"
- "7687:7687"
restart: always
tei-embedding-service:
image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
container_name: tei-embedding-server
ports:
- "6006:80"
volumes:
- "./data:/data"
shm_size: 1g
environment:
no_proxy: ${no_proxy}
NO_PROXY: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
ipc: host
command: --model-id ${EMBEDDING_MODEL_ID} --auto-truncate
tgi-gaudi-service:
image: ghcr.io/huggingface/tgi-gaudi:2.0.6
container_name: tgi-gaudi-server
ports:
- "6005:80"
volumes:
- "./data:/data"
environment:
no_proxy: ${no_proxy}
NO_PROXY: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN: ${HF_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
ENABLE_HPU_GRAPH: true
LIMIT_HPU_GRAPH: true
USE_FLASH_ATTENTION: true
FLASH_ATTENTION_RECOMPUTE: true
TEXT_GENERATION_SERVER_IGNORE_EOS_TOKEN: false
runtime: habana
cap_add:
- SYS_NICE
ipc: host
command: --model-id ${LLM_MODEL_ID} --max-input-length 6000 --max-total-tokens 8192
dataprep-neo4j-llamaindex:
image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
container_name: dataprep-neo4j-server
depends_on:
- neo4j-apoc
- tgi-gaudi-service
- tei-embedding-service
ports:
- "6004:5000"
ipc: host
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
host_ip: ${host_ip}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN: ${HF_TOKEN}
NEO4J_URL: ${NEO4J_URL}
NEO4J_USERNAME: ${NEO4J_USERNAME}
NEO4J_PASSWORD: ${NEO4J_PASSWORD}
DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_NEO4J_LLAMAINDEX"
TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
OPENAI_API_KEY: ${OPENAI_API_KEY}
OPENAI_EMBEDDING_MODEL: ${OPENAI_EMBEDDING_MODEL}
OPENAI_LLM_MODEL: ${OPENAI_LLM_MODEL}
EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
LLM_MODEL_ID: ${LLM_MODEL_ID}
MAX_OUTPUT_TOKENS: ${MAX_OUTPUT_TOKENS}
LOGFLAG: ${LOGFLAG}
restart: unless-stopped
retriever-neo4j-llamaindex:
image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
container_name: retriever-neo4j-server
depends_on:
- neo4j-apoc
- tgi-gaudi-service
- tei-embedding-service
ports:
- "7000:7000"
ipc: host
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
host_ip: ${host_ip}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN: ${HF_TOKEN}
NEO4J_URI: ${NEO4J_URL}
NEO4J_USERNAME: ${NEO4J_USERNAME}
NEO4J_PASSWORD: ${NEO4J_PASSWORD}
TGI_LLM_ENDPOINT: ${TGI_LLM_ENDPOINT}
TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
OPENAI_API_KEY: ${OPENAI_API_KEY}
OPENAI_EMBEDDING_MODEL: ${OPENAI_EMBEDDING_MODEL}
OPENAI_LLM_MODEL: ${OPENAI_LLM_MODEL}
EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
LLM_MODEL_ID: ${LLM_MODEL_ID}
MAX_OUTPUT_TOKENS: ${MAX_OUTPUT_TOKENS}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_NEO4J"
restart: unless-stopped
graphrag-gaudi-backend-server:
image: ${REGISTRY:-opea}/graphrag:${TAG:-latest}
container_name: graphrag-gaudi-backend-server
depends_on:
- neo4j-apoc
- tei-embedding-service
- retriever-neo4j-llamaindex
- tgi-gaudi-service
ports:
- "8888:8888"
environment:
- no_proxy=${no_proxy}
- https_proxy=${https_proxy}
- http_proxy=${http_proxy}
- MEGA_SERVICE_HOST_IP=graphrag-gaudi-backend-server
- RETRIEVER_SERVICE_HOST_IP=retriever-neo4j-llamaindex
- RETRIEVER_SERVICE_PORT=7000
- LLM_SERVER_HOST_IP=tgi-gaudi-service
- LLM_SERVER_PORT=${LLM_SERVER_PORT:-80}
- LLM_MODEL_ID=${LLM_MODEL_ID}
- LOGFLAG=${LOGFLAG}
ipc: host
restart: always
graphrag-ui-server:
image: ${REGISTRY:-opea}/graphrag-ui:${TAG:-latest}
container_name: graphrag-ui-server
depends_on:
- graphrag-gaudi-backend-server
ports:
- "5173:5173"
environment:
- no_proxy=${no_proxy}
- https_proxy=${https_proxy}
- http_proxy=${http_proxy}
ipc: host
restart: always
chatqna-gaudi-nginx-server:
image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
container_name: chatqna-gaudi-nginx-server
depends_on:
- graphrag-gaudi-backend-server
- graphrag-ui-server
ports:
- "${NGINX_PORT:-80}:80"
environment:
- no_proxy=${no_proxy}
- https_proxy=${https_proxy}
- http_proxy=${http_proxy}
- FRONTEND_SERVICE_IP=graphrag-ui-server
- FRONTEND_SERVICE_PORT=5173
- BACKEND_SERVICE_NAME=graphrag
- BACKEND_SERVICE_IP=graphrag-gaudi-backend-server
- BACKEND_SERVICE_PORT=8888
- DATAPREP_SERVICE_IP=dataprep-neo4j-llamaindex
- DATAPREP_SERVICE_PORT=5000
ipc: host
restart: always
networks:
default:
driver: bridge