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Updated CN readme (#2661)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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18
README.md
18
README.md
@ -220,30 +220,30 @@ This image is approximately 1 GB in size and relies on external LLM and embeddin
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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pip3 install huggingface-hub
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python3 download_deps.py # embedding models
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python3 download_deps.py
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docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
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```
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## 🪚 Build the Docker image including embedding models
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This image includes embedding models and is approximately 9 GB in size, and so relies on external LLM services only.
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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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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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pip3 install huggingface-hub
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python3 download_deps.py # embedding models
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python3 download_deps.py
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docker build -f Dockerfile -t infiniflow/ragflow:dev .
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```
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## 🔨 Launch service from source for development
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1. Install Poetry, or skip this step if it is already installed:
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1. Install Poetry, or skip this step if it is already installed:
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```bash
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curl -sSL https://install.python-poetry.org | python3 -
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```
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2. Clone the source code and install Python dependencies:
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2. Clone the source code and install Python dependencies:
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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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@ -251,7 +251,7 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
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~/.local/bin/poetry install --sync --no-root # install RAGFlow dependent python modules
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```
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3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
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3. Launch the dependent services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:
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```bash
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docker compose -f docker/docker-compose-base.yml up -d
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```
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@ -262,13 +262,13 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
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```
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In **docker/service_conf.yaml**, update mysql port to `5455` and es port to `1200`, as specified in **docker/.env**.
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4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
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4. If you cannot access HuggingFace, set the `HF_ENDPOINT` environment variable to use a mirror site:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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```
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5. Launch backend service:
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5. Launch backend service:
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```bash
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source .venv/bin/activate
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export PYTHONPATH=$(pwd)
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@ -284,7 +284,7 @@ docker build -f Dockerfile -t infiniflow/ragflow:dev .
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8. Launch frontend service:
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```bash
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npm run dev
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```
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```
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_The following output confirms a successful launch of the system:_
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