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Docs: Removed descriptions of the slim edition. (#11192)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
This commit is contained in:
@ -97,14 +97,7 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
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- `SVR_HTTP_PORT`
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- `SVR_HTTP_PORT`
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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. Defaults to `9380`.
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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. Defaults to `9380`.
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- `RAGFLOW-IMAGE`
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- `RAGFLOW-IMAGE`
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The Docker image edition. Available editions:
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The Docker image edition. Defaults to `infiniflow/ragflow:v0.21.1` (the RAGFlow Docker image without embedding models).
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- `infiniflow/ragflow:v0.21.1-slim` (default): The RAGFlow Docker image without embedding models.
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- `infiniflow/ragflow:v0.21.1`: The RAGFlow Docker image with embedding models including:
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- Built-in embedding models:
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- `BAAI/bge-large-zh-v1.5`
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- `maidalun1020/bce-embedding-base_v1`
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:::tip NOTE
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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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If you cannot download the RAGFlow Docker image, try the following mirrors.
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@ -42,11 +42,7 @@ cd ragflow/
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```
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```
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2. Install Python dependencies:
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2. Install Python dependencies:
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- slim:
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```bash
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uv sync --python 3.10 # install RAGFlow dependent python modules
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```
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- full:
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```bash
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```bash
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uv sync --python 3.10 # 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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```
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25
docs/faq.mdx
25
docs/faq.mdx
@ -26,27 +26,9 @@ The "garbage in garbage out" status quo remains unchanged despite the fact that
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---
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---
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### Differences between RAGFlow full edition and RAGFlow slim edition?
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Each RAGFlow release is available in two editions:
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- **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`
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- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1`
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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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---
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### Which embedding models can be deployed locally?
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### Which embedding models can be deployed locally?
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RAGFlow offers two Docker image editions, `v0.21.1-slim` and `v0.21.1`:
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Starting from `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
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- `infiniflow/ragflow:v0.21.1-slim` (default): The RAGFlow Docker image without embedding models.
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- `infiniflow/ragflow:v0.21.1`: The RAGFlow Docker image with the following built-in embedding models:
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- `BAAI/bge-large-zh-v1.5`
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- `maidalun1020/bce-embedding-base_v1`
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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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---
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---
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@ -65,7 +47,7 @@ If you build RAGFlow from source, the version number is also in the system log:
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/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
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/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
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/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
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/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
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2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.15.0-50-g6daae7f2 full
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2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.15.0-50-g6daae7f2
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```
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```
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Where:
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Where:
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@ -73,9 +55,6 @@ Where:
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- `v0.15.0`: The officially published release.
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- `v0.15.0`: The officially published release.
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- `50`: The number of git commits since the official release.
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- `50`: The number of git commits since the official release.
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- `g6daae7f2`: `g` is the prefix, and `6daae7f2` is the first seven characters of the current commit ID.
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- `g6daae7f2`: `g` is the prefix, and `6daae7f2` is the first seven characters of the current commit ID.
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- `full`/`slim`: The RAGFlow edition.
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- `full`: The full RAGFlow edition.
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- `slim`: The RAGFlow edition without embedding models and Python packages.
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---
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---
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@ -189,10 +189,6 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
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3. Use the pre-built Docker images and start up the server:
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3. Use the pre-built Docker images and start up the server:
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:::tip NOTE
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The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. Refer to 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. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` for the full edition `v0.21.1`.
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:::
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```bash
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```bash
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# Use CPU for embedding and DeepDoc tasks:
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# Use CPU for embedding and DeepDoc tasks:
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$ docker compose -f docker-compose.yml up -d
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$ docker compose -f docker-compose.yml up -d
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@ -202,11 +198,10 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
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<APITable>
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<APITable>
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```
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```
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| RAGFlow image tag | Image size (GB) | Has embedding models and Python packages? | Stable? |
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| RAGFlow image tag | Image size (GB) | Stable? |
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| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
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| ------------------- | --------------- | ------------------------ |
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| v0.21.1 | ≈9 | ✔️ | Stable release |
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| v0.21.1 | ≈2 | 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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| nightly | ≈2 | ❌ | _Unstable_ nightly build |
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```mdx-code-block
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```mdx-code-block
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</APITable>
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</APITable>
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@ -222,7 +217,7 @@ These two embedding models are optimized specifically for English and Chinese, s
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:::
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:::
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:::tip NOTE
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:::tip NOTE
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The image size shown refers to the size of the *downloaded* Docker image, which is compressed. When Docker runs the image, it unpacks it, resulting in significantly greater disk usage. For example, a slim edition image will expand to around 7 GB once unpacked.
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The image size shown refers to the size of the *downloaded* Docker image, which is compressed. When Docker runs the image, it unpacks it, resulting in significantly greater disk usage. A Docker image will expand to around 7 GB once unpacked.
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:::
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:::
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4. Check the server status after having the server up and running:
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4. Check the server status after having the server up and running:
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@ -7,21 +7,6 @@ slug: /release_notes
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Key features, improvements and bug fixes in the latest releases.
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Key features, improvements and bug fixes in the latest releases.
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:::info
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Each RAGFlow release is available in two editions:
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- **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`
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- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1`
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:::
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:::danger IMPORTANT
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The embedding models included in a full edition are:
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- BAAI/bge-large-zh-v1.5
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- maidalun1020/bce-embedding-base_v1
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These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages.
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:::
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## v0.21.1
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## v0.21.1
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Released on October 23, 2025.
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Released on October 23, 2025.
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