AI_POC/TERES_fastapi_backend
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v0.21.1-fastapi

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dangzerong
2025-11-04 16:06:36 +08:00
parent 3e58c3d0e9
commit d57b5d76ae
218 changed files with 19617 additions and 72339 deletions
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docker/.env
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@@ -37,9 +37,12 @@ OPENSEARCH_PASSWORD=infini_rag_flow_OS_01
# The port used to expose the Kibana service to the host machine,
# allowing EXTERNAL access to the service running inside the Docker container.
# To enable kibana, you need to:
# 1. Ensure that COMPOSE_PROFILES includes kibana, for example: COMPOSE_PROFILES=${DOC_ENGINE},kibana
# 2. Comment out or delete the following configurations of the es service in docker-compose-base.yml: xpack.security.enabled、xpack.security.http.ssl.enabled、xpack.security.transport.ssl.enabled (for details: https://www.elastic.co/docs/deploy-manage/security/self-auto-setup#stack-existing-settings-detected)
# 3. Adjust the es.hosts in conf/service_config.yaml or docker/service_conf.yaml.template to 'https://localhost:1200'
# 4. After the startup is successful, in the es container, execute the command to generate the kibana token: `bin/elasticsearch-create-enrollment-token -s kibana`, then you can use kibana normally
KIBANA_PORT=6601
KIBANA_USER=rag_flow
KIBANA_PASSWORD=infini_rag_flow
# The maximum amount of the memory, in bytes, that a specific Docker container can use while running.
# Update it according to the available memory in the host machine.
@@ -91,15 +94,16 @@ REDIS_PASSWORD=infini_rag_flow
# The port used to expose RAGFlow's HTTP API service to the host machine,
# allowing EXTERNAL access to the service running inside the Docker container.
SVR_HTTP_PORT=9380
ADMIN_SVR_HTTP_PORT=9381
# The RAGFlow Docker image to download.
# Defaults to the v0.20.5-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:fastapi
# Defaults to the v0.21.1-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1
#
# The Docker image of the v0.20.5 edition includes built-in embedding models:
# The Docker image of the v0.21.1 edition includes built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - maidalun1020/bce-embedding-base_v1
#
@@ -192,12 +196,8 @@ REGISTER_ENABLED=1
# - For OpenSearch:
# COMPOSE_PROFILES=opensearch,sandbox
POSTGRES_DBNAME=rag_flow
POSTGRES_USER=rag_flow
POSTGRES_PASSWORD=infini_rag_flow
POSTGRES_PORT=5432
DB_TYPE=postgres
USE_OCR_HTTP=true
DB_TYPE=postgres