mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-01-23 03:26:53 +08:00
Don't release full image (#10654)
### What problem does this PR solve? Introduced gpu profile in .env Added Dockerfile_tei fix datrie Removed LIGHTEN flag ### Type of change - [x] Documentation Update - [x] Refactoring
This commit is contained in:
Zhichang Yu
@ -35,7 +35,7 @@ docker compose -f docker/docker-compose.yml up -d
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Sets up environment for RAGFlow's dependencies: Elasticsearch/[Infinity](https://github.com/infiniflow/infinity), MySQL, MinIO, and Redis.
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:::danger IMPORTANT
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We do not actively maintain **docker-compose-CN-oc9.yml**, **docker-compose-gpu-CN-oc9.yml**, or **docker-compose-gpu.yml**, so use them at your own risk. However, you are welcome to file a pull request to improve any of them.
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We do not actively maintain **docker-compose-CN-oc9.yml**, **docker-compose-macos.yml**, so use them at your own risk. However, you are welcome to file a pull request to improve them.
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:::
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## Docker environment variables
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@ -109,18 +109,23 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
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:::tip NOTE
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If you cannot download the RAGFlow Docker image, try the following mirrors.
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- For the `nightly-slim` edition:
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- `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim` or,
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- `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim`.
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- For the `nightly` edition:
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- `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly` or,
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- `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly`.
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:::
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### Embedding service
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- `TEI_MODEL`
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The embedding model which text-embeddings-inference serves. Allowed values are one of `Qwen/Qwen3-Embedding-0.6B`(default), `BAAI/bge-m3`, and `BAAI/bge-small-en-v1.5`.
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- `TEI_PORT`
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The port used to expose the text-embeddings-inference service to the host machine, allowing **external** access to the text-embeddings-inference service running inside the Docker container. Defaults to `6380`.
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### Timezone
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- `TIMEZONE`
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The local time zone. Defaults to `'Asia/Shanghai'`.
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- `TZ`
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The local time zone. Defaults to `Asia/Shanghai`.
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### Hugging Face mirror site
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@ -39,25 +39,6 @@ This image is approximately 2 GB in size and relies on external LLM and embeddin
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- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
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:::
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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uv run download_deps.py
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docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
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docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
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```
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</TabItem>
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<TabItem value="including">
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This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
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:::danger IMPORTANT
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- While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
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- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
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:::
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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@ -66,18 +47,19 @@ docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
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docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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```
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</TabItem>
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</Tabs>
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## Launch a RAGFlow Service from Docker for MacOS
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After building the infiniflow/ragflow:nightly-slim image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
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After building the infiniflow/ragflow:nightly image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
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## Example: Apple M2 Pro (Sequoia)
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1. Edit Docker Compose Configuration
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Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
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Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1` to `infiniflow/ragflow:nightly` to use the pre-built image.
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2. Launch the Service
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@ -48,7 +48,7 @@ cd ragflow/
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```
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- full:
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```bash
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uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
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uv sync --python 3.10 # install RAGFlow dependent python modules
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```
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*A virtual environment named `.venv` is created, and all Python dependencies are installed into the new environment.*
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@ -116,51 +116,51 @@ Run `docker compose -f docker-compose.yml up` to launch the RAGFlow server toget
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*The following ASCII art confirms a successful launch:*
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```bash
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ragflow-server | Starting MCP Server on 0.0.0.0:9382 with base URL http://127.0.0.1:9380...
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ragflow-server | Starting 1 task executor(s) on host 'dd0b5e07e76f'...
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ragflow-server | 2025-04-18 15:41:18,816 INFO 27 ragflow_server log path: /ragflow/logs/ragflow_server.log, log levels: {'peewee': 'WARNING', 'pdfminer': 'WARNING', 'root': 'INFO'}
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ragflow-server |
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ragflow-server | __ __ ____ ____ ____ _____ ______ _______ ____
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ragflow-server | | \/ |/ ___| _ \ / ___|| ____| _ \ \ / / ____| _ \
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ragflow-server | | |\/| | | | |_) | \___ \| _| | |_) \ \ / /| _| | |_) |
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ragflow-server | | | | | |___| __/ ___) | |___| _ < \ V / | |___| _ <
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ragflow-server | |_| |_|\____|_| |____/|_____|_| \_\ \_/ |_____|_| \_\
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ragflow-server |
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ragflow-server | MCP launch mode: self-host
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ragflow-server | MCP host: 0.0.0.0
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ragflow-server | MCP port: 9382
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ragflow-server | MCP base_url: http://127.0.0.1:9380
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ragflow-server | INFO: Started server process [26]
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ragflow-server | INFO: Waiting for application startup.
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ragflow-server | INFO: Application startup complete.
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ragflow-server | INFO: Uvicorn running on http://0.0.0.0:9382 (Press CTRL+C to quit)
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ragflow-server | 2025-04-18 15:41:20,469 INFO 27 found 0 gpus
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ragflow-server | 2025-04-18 15:41:23,263 INFO 27 init database on cluster mode successfully
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ragflow-server | 2025-04-18 15:41:25,318 INFO 27 load_model /ragflow/rag/res/deepdoc/det.onnx uses CPU
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ragflow-server | 2025-04-18 15:41:25,367 INFO 27 load_model /ragflow/rag/res/deepdoc/rec.onnx uses CPU
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ragflow-server | ____ ___ ______ ______ __
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ragflow-server | / __ \ / | / ____// ____// /____ _ __
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ragflow-server | / /_/ // /| | / / __ / /_ / // __ \| | /| / /
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ragflow-server | / _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
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ragflow-server | /_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
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ragflow-server |
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ragflow-server |
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ragflow-server | 2025-04-18 15:41:29,088 INFO 27 RAGFlow version: v0.18.0-285-gb2c299fa full
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ragflow-server | 2025-04-18 15:41:29,088 INFO 27 project base: /ragflow
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ragflow-server | 2025-04-18 15:41:29,088 INFO 27 Current configs, from /ragflow/conf/service_conf.yaml:
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ragflow-server | ragflow: {'host': '0.0.0.0', 'http_port': 9380}
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docker-ragflow-cpu-1 | Starting MCP Server on 0.0.0.0:9382 with base URL http://127.0.0.1:9380...
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docker-ragflow-cpu-1 | Starting 1 task executor(s) on host 'dd0b5e07e76f'...
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docker-ragflow-cpu-1 | 2025-04-18 15:41:18,816 INFO 27 ragflow_server log path: /ragflow/logs/ragflow_server.log, log levels: {'peewee': 'WARNING', 'pdfminer': 'WARNING', 'root': 'INFO'}
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docker-ragflow-cpu-1 |
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docker-ragflow-cpu-1 | __ __ ____ ____ ____ _____ ______ _______ ____
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||||
docker-ragflow-cpu-1 | | \/ |/ ___| _ \ / ___|| ____| _ \ \ / / ____| _ \
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||||
docker-ragflow-cpu-1 | | |\/| | | | |_) | \___ \| _| | |_) \ \ / /| _| | |_) |
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||||
docker-ragflow-cpu-1 | | | | | |___| __/ ___) | |___| _ < \ V / | |___| _ <
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||||
docker-ragflow-cpu-1 | |_| |_|\____|_| |____/|_____|_| \_\ \_/ |_____|_| \_\
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||||
docker-ragflow-cpu-1 |
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||||
docker-ragflow-cpu-1 | MCP launch mode: self-host
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docker-ragflow-cpu-1 | MCP host: 0.0.0.0
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docker-ragflow-cpu-1 | MCP port: 9382
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docker-ragflow-cpu-1 | MCP base_url: http://127.0.0.1:9380
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docker-ragflow-cpu-1 | INFO: Started server process [26]
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||||
docker-ragflow-cpu-1 | INFO: Waiting for application startup.
|
||||
docker-ragflow-cpu-1 | INFO: Application startup complete.
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||||
docker-ragflow-cpu-1 | INFO: Uvicorn running on http://0.0.0.0:9382 (Press CTRL+C to quit)
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docker-ragflow-cpu-1 | 2025-04-18 15:41:20,469 INFO 27 found 0 gpus
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||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:23,263 INFO 27 init database on cluster mode successfully
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:25,318 INFO 27 load_model /ragflow/rag/res/deepdoc/det.onnx uses CPU
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:25,367 INFO 27 load_model /ragflow/rag/res/deepdoc/rec.onnx uses CPU
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||||
docker-ragflow-cpu-1 | ____ ___ ______ ______ __
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||||
docker-ragflow-cpu-1 | / __ \ / | / ____// ____// /____ _ __
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||||
docker-ragflow-cpu-1 | / /_/ // /| | / / __ / /_ / // __ \| | /| / /
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||||
docker-ragflow-cpu-1 | / _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
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||||
docker-ragflow-cpu-1 | /_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
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docker-ragflow-cpu-1 |
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docker-ragflow-cpu-1 |
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docker-ragflow-cpu-1 | 2025-04-18 15:41:29,088 INFO 27 RAGFlow version: v0.18.0-285-gb2c299fa full
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:29,088 INFO 27 project base: /ragflow
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:29,088 INFO 27 Current configs, from /ragflow/conf/service_conf.yaml:
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docker-ragflow-cpu-1 | ragflow: {'host': '0.0.0.0', 'http_port': 9380}
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...
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ragflow-server | * Running on all addresses (0.0.0.0)
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ragflow-server | * Running on http://127.0.0.1:9380
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||||
ragflow-server | * Running on http://172.19.0.6:9380
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||||
ragflow-server | ______ __ ______ __
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||||
ragflow-server | /_ __/___ ______/ /__ / ____/ _____ _______ __/ /_____ _____
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||||
ragflow-server | / / / __ `/ ___/ //_/ / __/ | |/_/ _ \/ ___/ / / / __/ __ \/ ___/
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||||
ragflow-server | / / / /_/ (__ ) ,< / /____> </ __/ /__/ /_/ / /_/ /_/ / /
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ragflow-server | /_/ \__,_/____/_/|_| /_____/_/|_|\___/\___/\__,_/\__/\____/_/
|
||||
ragflow-server |
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ragflow-server | 2025-04-18 15:41:34,501 INFO 32 TaskExecutor: RAGFlow version: v0.18.0-285-gb2c299fa full
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ragflow-server | 2025-04-18 15:41:34,501 INFO 32 Use Elasticsearch http://es01:9200 as the doc engine.
|
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docker-ragflow-cpu-1 | * Running on all addresses (0.0.0.0)
|
||||
docker-ragflow-cpu-1 | * Running on http://127.0.0.1:9380
|
||||
docker-ragflow-cpu-1 | * Running on http://172.19.0.6:9380
|
||||
docker-ragflow-cpu-1 | ______ __ ______ __
|
||||
docker-ragflow-cpu-1 | /_ __/___ ______/ /__ / ____/ _____ _______ __/ /_____ _____
|
||||
docker-ragflow-cpu-1 | / / / __ `/ ___/ //_/ / __/ | |/_/ _ \/ ___/ / / / __/ __ \/ ___/
|
||||
docker-ragflow-cpu-1 | / / / /_/ (__ ) ,< / /____> </ __/ /__/ /_/ / /_/ /_/ / /
|
||||
docker-ragflow-cpu-1 | /_/ \__,_/____/_/|_| /_____/_/|_|\___/\___/\__,_/\__/\____/_/
|
||||
docker-ragflow-cpu-1 |
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:34,501 INFO 32 TaskExecutor: RAGFlow version: v0.18.0-285-gb2c299fa full
|
||||
docker-ragflow-cpu-1 | 2025-04-18 15:41:34,501 INFO 32 Use Elasticsearch http://es01:9200 as the doc engine.
|
||||
...
|
||||
```
|
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|
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@ -176,7 +176,7 @@ This section is contributed by our community contributor [yiminghub2024](https:/
|
||||
iii. Copy [docker/entrypoint.sh](https://github.com/infiniflow/ragflow/blob/main/docker/entrypoint.sh) locally.
|
||||
iv. Install the required dependencies using `uv`:
|
||||
- Run `uv add mcp` or
|
||||
- Copy [pyproject.toml](https://github.com/infiniflow/ragflow/blob/main/pyproject.toml) locally and run `uv sync --python 3.10 --all-extras`.
|
||||
- Copy [pyproject.toml](https://github.com/infiniflow/ragflow/blob/main/pyproject.toml) locally and run `uv sync --python 3.10`.
|
||||
2. Edit **docker-compose.yml** to enable MCP (disabled by default).
|
||||
3. Launch the MCP server:
|
||||
|
||||
@ -189,7 +189,7 @@ docker compose -f docker-compose.yml up -d
|
||||
Run the following to check the logs the RAGFlow server and the MCP server:
|
||||
|
||||
```bash
|
||||
docker logs ragflow-server
|
||||
docker logs docker-ragflow-cpu-1
|
||||
```
|
||||
|
||||
## Security considerations
|
||||
|
||||
@ -99,7 +99,7 @@ _The server replies with an `initialize` response, including the supported proto
|
||||
|
||||
```bash
|
||||
event: message
|
||||
data: {"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"experimental":{"headers":{"host":"127.0.0.1:9382","user-agent":"curl/8.7.1","accept":"*/*","api_key":"ragflow-xxxxxxxxxxxx","accept-encoding":"gzip"}},"tools":{"listChanged":false}},"serverInfo":{"name":"ragflow-server","version":"1.9.4"}}}
|
||||
data: {"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"experimental":{"headers":{"host":"127.0.0.1:9382","user-agent":"curl/8.7.1","accept":"*/*","api_key":"ragflow-xxxxxxxxxxxx","accept-encoding":"gzip"}},"tools":{"listChanged":false}},"serverInfo":{"name":"docker-ragflow-cpu-1","version":"1.9.4"}}}
|
||||
```
|
||||
|
||||
### 3. Acknowledge readiness
|
||||
|
||||
10
docs/faq.mdx
10
docs/faq.mdx
@ -33,6 +33,8 @@ Each RAGFlow release is available in two editions:
|
||||
- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1-slim`
|
||||
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1`
|
||||
|
||||
Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
|
||||
|
||||
---
|
||||
|
||||
### Which embedding models can be deployed locally?
|
||||
@ -44,6 +46,8 @@ RAGFlow offers two Docker image editions, `v0.21.1-slim` and `v0.21.1`:
|
||||
- `BAAI/bge-large-zh-v1.5`
|
||||
- `maidalun1020/bce-embedding-base_v1`
|
||||
|
||||
Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
|
||||
|
||||
---
|
||||
|
||||
### Where to find the version of RAGFlow? How to interpret it?
|
||||
@ -220,7 +224,7 @@ Ignore this warning and continue. All system warnings can be ignored.
|
||||
|
||||
|
||||
|
||||
You will not log in to RAGFlow unless the server is fully initialized. Run `docker logs -f ragflow-server`.
|
||||
You will not log in to RAGFlow unless the server is fully initialized. Run `docker logs -f docker-ragflow-cpu-1`.
|
||||
|
||||
*The server is successfully initialized, if your system displays the following:*
|
||||
|
||||
@ -256,7 +260,7 @@ Click the red cross beside the 'parsing status' bar, then restart the parsing pr
|
||||
1. Check the log of your RAGFlow server to see if it is running properly:
|
||||
|
||||
```bash
|
||||
docker logs -f ragflow-server
|
||||
docker logs -f docker-ragflow-cpu-1
|
||||
```
|
||||
|
||||
2. Check if the **task_executor.py** process exists.
|
||||
@ -310,7 +314,7 @@ tail -f ragflow/docker/ragflow-logs/*.log
|
||||
*The following is an example result:*
|
||||
|
||||
```bash
|
||||
5bc45806b680 infiniflow/ragflow:latest "./entrypoint.sh" 11 hours ago Up 11 hours 0.0.0.0:80->80/tcp, :::80->80/tcp, 0.0.0.0:443->443/tcp, :::443->443/tcp, 0.0.0.0:9380->9380/tcp, :::9380->9380/tcp ragflow-server
|
||||
5bc45806b680 infiniflow/ragflow:latest "./entrypoint.sh" 11 hours ago Up 11 hours 0.0.0.0:80->80/tcp, :::80->80/tcp, 0.0.0.0:443->443/tcp, :::443->443/tcp, 0.0.0.0:9380->9380/tcp, :::9380->9380/tcp docker-ragflow-cpu-1
|
||||
91220e3285dd docker.elastic.co/elasticsearch/elasticsearch:8.11.3 "/bin/tini -- /usr/l…" 11 hours ago Up 11 hours (healthy) 9300/tcp, 0.0.0.0:9200->9200/tcp, :::9200->9200/tcp ragflow-es-01
|
||||
d8c86f06c56b mysql:5.7.18 "docker-entrypoint.s…" 7 days ago Up 16 seconds (healthy) 0.0.0.0:3306->3306/tcp, :::3306->3306/tcp ragflow-mysql
|
||||
cd29bcb254bc quay.io/minio/minio:RELEASE.2023-12-20T01-00-02Z "/usr/bin/docker-ent…" 2 weeks ago Up 11 hours 0.0.0.0:9001->9001/tcp, :::9001->9001/tcp, 0.0.0.0:9000->9000/tcp, :::9000->9000/tcp ragflow-minio
|
||||
|
||||
@ -47,7 +47,7 @@ By default, a combination of weighted keyword similarity and weighted vector cos
|
||||
As a starter, you can skip this step to stay with the default retrieval method.
|
||||
|
||||
:::caution WARNING
|
||||
Using a rerank model will *significantly* increase the system's response time. If you must use a rerank model, ensure you use a SaaS reranker; if you prefer a locally deployed rerank model, ensure you start RAGFlow with **docker-compose-gpu.yml**.
|
||||
Using a rerank model will *significantly* increase the system's response time.
|
||||
:::
|
||||
|
||||
### 5. Enable cross-language search
|
||||
@ -140,6 +140,5 @@ The global variable name for the output of the **Retrieval** component, which ca
|
||||
|
||||
Go through the checklist below for best performance:
|
||||
|
||||
- Leave the **Rerank model** field empty.
|
||||
- If you must use a rerank model, ensure you use a SaaS reranker; if you prefer a locally deployed rerank model, ensure you start RAGFlow with **docker-compose-gpu.yml**.
|
||||
- Leave the **Rerank model** field empty to disable rerank.
|
||||
- Disable **Use knowledge graph**.
|
||||
|
||||
@ -62,7 +62,7 @@ $ sudo docker exec ollama ollama pull bge-m3
|
||||
|
||||
- If RAGFlow runs in Docker, the localhost is mapped within the RAGFlow Docker container as `host.docker.internal`. If Ollama runs on the same host machine, the right URL to use for Ollama would be `http://host.docker.internal:11434/' and you should check that Ollama is accessible from inside the RAGFlow container with:
|
||||
```bash
|
||||
$ sudo docker exec -it ragflow-server bash
|
||||
$ sudo docker exec -it docker-ragflow-cpu-1 bash
|
||||
$ curl http://host.docker.internal:11434/
|
||||
> Ollama is running
|
||||
```
|
||||
|
||||
@ -7,15 +7,15 @@ slug: /upgrade_ragflow
|
||||
import Tabs from '@theme/Tabs';
|
||||
import TabItem from '@theme/TabItem';
|
||||
|
||||
Upgrade RAGFlow to `nightly-slim`/`nightly` or the latest, published release.
|
||||
Upgrade RAGFlow to `nightly` or the latest, published release.
|
||||
|
||||
:::info NOTE
|
||||
Upgrading RAGFlow in itself will *not* remove your uploaded/historical data. However, be aware that `docker compose -f docker/docker-compose.yml down -v` will remove Docker container volumes, resulting in data loss.
|
||||
:::
|
||||
|
||||
## Upgrade RAGFlow to `nightly-slim`/`nightly`, the most recent, tested Docker image
|
||||
## Upgrade RAGFlow to `nightly`, the most recent, tested Docker image
|
||||
|
||||
`nightly-slim` refers to the RAGFlow Docker image *without* embedding models, while `nightly` refers to the RAGFlow Docker image with embedding models. For details on their differences, see [ragflow/docker/.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env).
|
||||
`nightly` refers to the RAGFlow Docker image without embedding models.
|
||||
|
||||
To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker image:
|
||||
|
||||
@ -27,27 +27,9 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
|
||||
|
||||
2. Update **ragflow/docker/.env**:
|
||||
|
||||
<Tabs
|
||||
defaultValue="nightly-slim"
|
||||
values={[
|
||||
{label: 'nightly-slim', value: 'nightly-slim'},
|
||||
{label: 'nightly', value: 'nightly'},
|
||||
]}>
|
||||
<TabItem value="nightly-slim">
|
||||
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
<TabItem value="nightly">
|
||||
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:nightly
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
</Tabs>
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:nightly
|
||||
```
|
||||
|
||||
3. Update RAGFlow image and restart RAGFlow:
|
||||
|
||||
@ -74,27 +56,9 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
|
||||
|
||||
3. Update **ragflow/docker/.env**:
|
||||
|
||||
<Tabs
|
||||
defaultValue="slim"
|
||||
values={[
|
||||
{label: 'slim', value: 'slim'},
|
||||
{label: 'full', value: 'full'},
|
||||
]}>
|
||||
<TabItem value="slim">
|
||||
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1-slim
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
<TabItem value="full">
|
||||
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
</Tabs>
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1
|
||||
```
|
||||
|
||||
4. Update the RAGFlow image and restart RAGFlow:
|
||||
|
||||
|
||||
@ -196,9 +196,6 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
|
||||
```bash
|
||||
# Use CPU for embedding and DeepDoc tasks:
|
||||
$ docker compose -f docker-compose.yml up -d
|
||||
|
||||
# To use GPU to accelerate embedding and DeepDoc tasks:
|
||||
# docker compose -f docker-compose-gpu.yml up -d
|
||||
```
|
||||
|
||||
```mdx-code-block
|
||||
@ -207,10 +204,9 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
|
||||
|
||||
| RAGFlow image tag | Image size (GB) | Has embedding models and Python packages? | Stable? |
|
||||
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
|
||||
| `v0.21.1` | ≈9 | :heavy_check_mark: | Stable release |
|
||||
| `v0.21.1-slim` | ≈2 | ❌ | Stable release |
|
||||
| `nightly` | ≈9 | :heavy_check_mark: | *Unstable* nightly build |
|
||||
| `nightly-slim` | ≈2 | ❌ | *Unstable* nightly build |
|
||||
| v0.21.1 | ≈9 | ✔️ | Stable release |
|
||||
| v0.21.1-slim | ≈2 | ❌ | Stable release |
|
||||
| nightly | ≈2 | ❌ | _Unstable_ nightly build |
|
||||
|
||||
```mdx-code-block
|
||||
</APITable>
|
||||
@ -232,7 +228,7 @@ The image size shown refers to the size of the *downloaded* Docker image, which
|
||||
4. Check the server status after having the server up and running:
|
||||
|
||||
```bash
|
||||
$ docker logs -f ragflow-server
|
||||
$ docker logs -f docker-ragflow-cpu-1
|
||||
```
|
||||
|
||||
_The following output confirms a successful launch of the system:_
|
||||
|
||||
Reference in New Issue
Block a user