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chore(readme): remove slim image from docs (#11199)
### What problem does this PR solve? RAGFlow will no longer offer docker images that contains embedding models. ### Type of change - [x] Documentation Update
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28
README.md
28
README.md
@ -22,7 +22,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -61,8 +61,7 @@
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- 🔎 [System Architecture](#-system-architecture)
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- 🎬 [Get Started](#-get-started)
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- 🔧 [Configurations](#-configurations)
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- 🔧 [Build a docker image without embedding models](#-build-a-docker-image-without-embedding-models)
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- 🔧 [Build a docker image including embedding models](#-build-a-docker-image-including-embedding-models)
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- 🔧 [Build a Docker image](#-build-a-docker-image)
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- 🔨 [Launch service from source for development](#-launch-service-from-source-for-development)
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- 📚 [Documentation](#-documentation)
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- 📜 [Roadmap](#-roadmap)
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@ -189,28 +188,29 @@ releases! 🌟
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> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
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> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
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> The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
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> The command below downloads the `v0.22.0` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.22.0`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
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```bash
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$ cd ragflow/docker
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# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.21.1
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# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.22.0
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# Use CPU for embedding and DeepDoc tasks:
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# Use CPU for DeepDoc tasks:
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$ docker compose -f docker-compose.yml up -d
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# To use GPU to accelerate embedding and DeepDoc tasks:
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# To use GPU to accelerate DeepDoc tasks:
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# sed -i '1i DEVICE=gpu' .env
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# docker compose -f docker-compose.yml up -d
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```
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | -------------------------- |
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| v0.21.1 | ≈9 | ✔️ | Stable release |
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| v0.21.1-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈2 | ❌ | _Unstable_ nightly build |
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> Note: Prior to `v0.22.0`, we provided both images with embedding models and slim images without embedding models. Details as follows:
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> Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.21.1 | ≈9 | ✔️ | Stable release |
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| v0.21.1-slim | ≈2 | ❌ | Stable release |
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> Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
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4. Check the server status after having the server up and running:
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@ -291,7 +291,7 @@ RAGFlow uses Elasticsearch by default for storing full text and vectors. To swit
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> [!WARNING]
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> Switching to Infinity on a Linux/arm64 machine is not yet officially supported.
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## 🔧 Build a Docker image without embedding models
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## 🔧 Build a Docker image
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This image is approximately 2 GB in size and relies on external LLM and embedding services.
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