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Docs: Miscellaneous updates. (#9506)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -5,7 +5,7 @@ slug: /http_api_reference
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# HTTP API
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A complete reference for RAGFlow's RESTful API. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](../guides/models/llm_api_key_setup.md).
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A complete reference for RAGFlow's RESTful API. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](../develop/acquire_ragflow_api_key.md).
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---
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@ -191,13 +191,13 @@ curl --request POST \
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##### Request Parameters
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- `model` (*Body parameter*) `string`, *Required*
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- `model` (*Body parameter*) `string`, *Required*
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The model used to generate the response. The server will parse this automatically, so you can set it to any value for now.
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- `messages` (*Body parameter*) `list[object]`, *Required*
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- `messages` (*Body parameter*) `list[object]`, *Required*
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A list of historical chat messages used to generate the response. This must contain at least one message with the `user` role.
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- `stream` (*Body parameter*) `boolean`
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- `stream` (*Body parameter*) `boolean`
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Whether to receive the response as a stream. Set this to `false` explicitly if you prefer to receive the entire response in one go instead of as a stream.
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#### Response
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@ -2675,7 +2675,7 @@ curl --request POST \
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- `agent_id`: (*Path parameter*)
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The ID of the associated agent.
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- `user_id`: (*Filter parameter*)
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- `user_id`: (*Filter parameter*)
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The optional user-defined ID for parsing docs (especially images) when creating a session while uploading files.
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#### Response
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@ -2755,7 +2755,7 @@ Success:
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"mode": "conversational",
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"outputs": {},
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"prologue": "Hi! I'm your assistant. What can I do for you?",
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"tips": "Please fill up the form"
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"tips": "Please fill in the form"
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}
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},
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"upstream": []
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@ -2912,17 +2912,17 @@ Asks a specified agent a question to start an AI-powered conversation.
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- Body:
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- `"question"`: `string`
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- `"stream"`: `boolean`
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- `"session_id"`: `string`(optional)
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- `"inputs"`: `object`(optional)
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- `"user_id"`: `string`(optional)
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- `"session_id"`: `string` (optional)
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- `"inputs"`: `object` (optional)
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- `"user_id"`: `string` (optional)
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:::info IMPORTANT
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You can include custom parameters in the request body, but first ensure they are defined in the [Begin](../guides/agent/agent_component_reference/begin.mdx) agent component.
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You can include custom parameters in the request body, but first ensure they are defined in the [Begin](../guides/agent/agent_component_reference/begin.mdx) component.
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:::
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##### Request example
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- If the **Begin** component does not take parameters.
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- If the **Begin** component does not take parameters:
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```bash
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curl --request POST \
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@ -2936,7 +2936,7 @@ curl --request POST \
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}'
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```
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- If the **Begin** component takes parameters.
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- If the **Begin** component takes parameters, include their values in the body of `"inputs"` as follows:
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```bash
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curl --request POST \
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@ -5,7 +5,7 @@ slug: /python_api_reference
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# Python API
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A complete reference for RAGFlow's Python APIs. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](../guides/models/llm_api_key_setup.md).
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A complete reference for RAGFlow's Python APIs. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](../develop/acquire_ragflow_api_key.md).
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:::tip NOTE
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Run the following command to download the Python SDK:
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@ -22,6 +22,36 @@ The embedding models included in a full edition are:
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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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## v0.20.2 (Ongoing🔨)
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Released on August ??, 2025.
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### Improvements
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- Revamps the user interface for the **Datasets**, **Chat**, and **Search** pages.
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- Search: Supports creating search apps tailored to various business scenarios
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- Chat: Supports comparing answer performance of up to three chat model settings on a single **Chat** page.
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- Agent:
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- Implements a toggle in the **Agent** component to enable or disable citation.
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- Introduces a drag-and-drop method for creating components.
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- Documentation: Corrects inaccuracies in the API reference.
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### New Agent templates
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- Report Agent: A template for generating summary reports in internal question-answering scenarios, supporting the display of tables and formulae. [#9427](https://github.com/infiniflow/ragflow/pull/9427)
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### Fixed issues
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- Predefined opening greeting in the **Agent** component was missing during conversations.
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- An automatic line break issue in the prompt editor.
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- A memory leak issue caused by PyPDF. [#9469](https://github.com/infiniflow/ragflow/pull/9469)
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### API changes
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#### Deprecated
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[Create session with agent](./references/http_api_reference.md#create-session-with-agent)
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## v0.20.1
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Released on August 8, 2025.
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@ -182,7 +212,7 @@ From this release onwards, if you still see RAGFlow's responses being cut short
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- Unable to add models via Ollama/Xinference, an issue introduced in v0.17.1.
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### Related APIs
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### API changes
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#### HTTP APIs
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@ -243,7 +273,7 @@ The following is a screenshot of a conversation that integrates Deep Research:
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### Related APIs
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### API changes
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#### HTTP APIs
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@ -318,7 +348,7 @@ This release fixes the following issues:
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- Using the **Table** parsing method results in information loss.
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- Miscellaneous API issues.
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### Related APIs
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### API changes
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#### HTTP APIs
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@ -354,7 +384,7 @@ Released on December 18, 2024.
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- Upgrades the Document Layout Analysis model in DeepDoc.
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- Significantly enhances the retrieval performance when using [Infinity](https://github.com/infiniflow/infinity) as document engine.
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### Related APIs
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### API changes
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#### HTTP APIs
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@ -411,7 +441,7 @@ This approach eliminates the need to manually update **service_config.yaml** aft
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Ensure that you [upgrade **both** your code **and** Docker image to this release](https://ragflow.io/docs/dev/upgrade_ragflow#upgrade-ragflow-to-the-most-recent-officially-published-release) before trying this new approach.
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:::
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### Related APIs
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### API changes
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#### HTTP APIs
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@ -570,7 +600,7 @@ While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker
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If you are on an ARM platform, follow [this guide](./develop/build_docker_image.mdx) to build a RAGFlow Docker image.
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:::
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### Related APIs
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### API changes
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#### HTTP API
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@ -591,7 +621,7 @@ Released on May 21, 2024.
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- Supports monitoring of system components, including Elasticsearch, MySQL, Redis, and MinIO.
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- Supports disabling **Layout Recognition** in the GENERAL chunking method to reduce file chunking time.
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### Related APIs
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### API changes
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#### HTTP API
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