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Doc: Updated sharing behavior in the open-source editions. (#7293)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -101,9 +101,7 @@ RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0-slim
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# The Docker image of the v0.18.0 edition includes built-in embedding models:
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# The Docker image of the v0.18.0 edition includes built-in embedding models:
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# - BAAI/bge-large-zh-v1.5
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# - BAAI/bge-large-zh-v1.5
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# - maidalun1020/bce-embedding-base_v1
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# - maidalun1020/bce-embedding-base_v1
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#
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#
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# If you cannot download the RAGFlow Docker image:
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# If you cannot download the RAGFlow Docker image:
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#
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#
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@ -12,9 +12,8 @@ Accept an invite to join a team, decline an invite, or leave a team.
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Once you join a team, you can do the following:
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Once you join a team, you can do the following:
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- Upload documents to the team owner's shared datasets (knowledge bases).
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- Upload documents to the team owner's shared datasets (knowledge bases).
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- Update document configurations in the team owner's shared datasets.
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- Update the default configurations for the team owner's shared datasets.
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- Parse documents in the team owner's shared datasets.
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- Parse documents in the team owner's shared datasets.
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- Use the team owner's shared Agents.
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:::tip NOTE
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:::tip NOTE
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You cannot invite users to a team unless you are its owner.
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You cannot invite users to a team unless you are its owner.
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@ -12,9 +12,8 @@ Invite or remove team members.
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By default, each RAGFlow user is assigned a single team named after their name. RAGFlow allows you to invite RAGFlow users to your team. Your team members can help you:
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By default, each RAGFlow user is assigned a single team named after their name. RAGFlow allows you to invite RAGFlow users to your team. Your team members can help you:
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- Upload documents to your shared datasets (knowledge bases).
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- Upload documents to your shared datasets (knowledge bases).
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- Update document configurations in your shared datasets.
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- Update the default configurations for your shared datasets.
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- Parse documents in your shared datasets.
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- Parse documents in your shared datasets.
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- Use your shared Agents.
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:::tip NOTE
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:::tip NOTE
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- Your team members are currently *not* allowed to invite users to your team, and only you, the team owner, is permitted to do so.
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- Your team members are currently *not* allowed to invite users to your team, and only you, the team owner, is permitted to do so.
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23
docs/guides/team/share_agents.md
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docs/guides/team/share_agents.md
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---
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sidebar_position: 3
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slug: /share_agent
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---
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# Share Agent
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Share an Agent with your team members.
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---
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When ready, you may share your Agents with your team members so that they can use them. Please note that your Agents are not shared automatically; you must manually enable sharing by selecting the corresponding **Permissions** radio button:
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1. Click the intended Agent to open its editing canvas.
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2. Click **Settings** to show the **Agent settings** dialogue.
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3. Change **Permissions** from **Only me** to **Team**.
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4. Click **Save** to apply your changes.
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*When completed, your team members will see your shared Agents like this:*
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docs/guides/team/share_knowledge_bases.md
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docs/guides/team/share_knowledge_bases.md
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---
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sidebar_position: 3
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slug: /share_datasets
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---
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# Share knowledge base
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Share a knowledge base with team members.
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When ready, you may share your knowledge bases with your team members so that they can upload and parse files in them. Please note that your knowledge bases are not shared automatically; you must manually enable sharing by selecting the appropriate **Permissions** radio button:
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1. Navigate to the knowledge base's **Configuration** page.
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2. Change **Permissions** from **Only me** to **Team**.
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3. Click **Save** to apply your changes.
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*Once completed, your team members will see your shared knowledge bases like this:*
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8
docs/guides/team/share_model.md
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8
docs/guides/team/share_model.md
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---
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sidebar_position: 3
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slug: /share_model
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---
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# Share models
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Sharing models is available only on RAGFlow Enterprise!
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@ -15,10 +15,12 @@ Released on April 23, 2025.
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- MCP server: enables access to RAGFlow's knowledge bases via MCP.
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- MCP server: enables access to RAGFlow's knowledge bases via MCP.
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- DeepDoc supports adopting VLM model as a processing pipeline during document layout recognition, enabling in-depth analysis of images in PDFs.
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- DeepDoc supports adopting VLM model as a processing pipeline during document layout recognition, enabling in-depth analysis of images in PDFs.
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- Agent version control: all updates are continuously logged and can be rolled back to a previous version via export.
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- Team collaboration: Agents can be shared with team members.
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- OpenAI-compatible APIs: Agents can be called via OpenAI-compatible APIs.
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- OpenAI-compatible APIs: Agents can be called via OpenAI-compatible APIs.
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- User registration control: administrators can enable or disable user registration through an environment variable. See `REGISTER_ENABLED` in **/docker/.env**.
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- User registration control: administrators can enable or disable user registration through an environment variable.
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- Team collaboration: Agents can be shared with team members.
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- Agent version control: all updates are continuously logged and can be rolled back to a previous version via export.
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### Improvements
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### Improvements
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