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Fix: Merge main branch (#10377)

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- [x] Bug Fix (non-breaking change which fixes an issue)

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Kevin Hu
2025-09-30 13:13:15 +08:00
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34
docs/release_notes.md
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@ -28,10 +28,10 @@ Released on September 10, 2025.
### Improvements
- Agent:
- Agent:
- Agent Performance Optimized: Improves planning and reflection speed for simple tasks; optimizes concurrent tool calls for parallelizable scenarios, significantly reducing overall response time.
- Four framework-level prompt blocks are available in the **System prompt** section, enabling customization and overriding of prompts at the framework level, thereby enhancing flexibility and control. See [here](./guides/agent/agent_component_reference/agent.mdx#system-prompt).
- **Execute SQL** component enhanced: Replaces the original variable reference component with a text input field, allowing users to write free-form SQL queries and reference variables.
- **Execute SQL** component enhanced: Replaces the original variable reference component with a text input field, allowing users to write free-form SQL queries and reference variables. See [here](./guides/agent/agent_component_reference/execute_sql.md).
- Chat: Re-enables **Reasoning** and **Cross-language search**.
### Added models
@ -79,7 +79,7 @@ ZHIPU GLM-4.5
### New Agent templates
Ecommerce Customer Service Workflow: A template designed to handle enquiries about product features and multi-product comparisons using the internal knowledge base, as well as to manage installation appointment bookings.
Ecommerce Customer Service Workflow: A template designed to handle enquiries about product features and multi-product comparisons using the internal dataset, as well as to manage installation appointment bookings.
### Fixed issues
@ -131,7 +131,7 @@ Released on August 8, 2025.
### New Features
- The **Retrieval** component now supports the dynamic specification of knowledge base names using variables.
- The **Retrieval** component now supports the dynamic specification of dataset names using variables.
- The user interface now includes a French language option.
### Added Models
@ -142,7 +142,7 @@ Released on August 8, 2025.
### New agent templates (both workflow and agentic)
- SQL Assistant Workflow: Empowers non-technical teams (e.g., operations, product) to independently query business data.
- Choose Your Knowledge Base Workflow: Lets users select a knowledge base to query during conversations. [#9325](https://github.com/infiniflow/ragflow/pull/9325)
- Choose Your Knowledge Base Workflow: Lets users select a dataset to query during conversations. [#9325](https://github.com/infiniflow/ragflow/pull/9325)
- Choose Your Knowledge Base Agent: Delivers higher-quality responses with extended reasoning time, suited for complex queries. [#9325](https://github.com/infiniflow/ragflow/pull/9325)
### Fixed Issues
@ -175,14 +175,14 @@ From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and
### New agent templates introduced
- Multi-Agent based Deep Research: Collaborative Agent teamwork led by a Lead Agent with multiple Subagents, distinct from traditional workflow orchestration.
- An intelligent Q&A chatbot leveraging internal knowledge bases, designed for customer service and training scenarios.
- An intelligent Q&A chatbot leveraging internal datasets, designed for customer service and training scenarios.
- A resume analysis template used by the RAGFlow team to screen, analyze, and record candidate information.
- A blog generation workflow that transforms raw ideas into SEO-friendly blog content.
- An intelligent customer service workflow.
- A user feedback analysis template that directs user feedback to appropriate teams through semantic analysis.
- Trip Planner: Uses web search and map MCP servers to assist with travel planning.
- Image Lingo: Translates content from uploaded photos.
- An information search assistant that retrieves answers from both internal knowledge bases and the web.
- An information search assistant that retrieves answers from both internal datasets and the web.
## v0.19.1
@ -195,7 +195,7 @@ Released on June 23, 2025.
- A context error occurring when using Sandbox in standalone mode. [#8340](https://github.com/infiniflow/ragflow/pull/8340)
- An excessive CPU usage issue caused by Ollama. [#8216](https://github.com/infiniflow/ragflow/pull/8216)
- A bug in the Code Component. [#7949](https://github.com/infiniflow/ragflow/pull/7949)
- Added support for models installed via Ollama or VLLM when creating a knowledge base through the API. [#8069](https://github.com/infiniflow/ragflow/pull/8069)
- Added support for models installed via Ollama or VLLM when creating a dataset through the API. [#8069](https://github.com/infiniflow/ragflow/pull/8069)
- Enabled role-based authentication for S3 bucket access. [#8149](https://github.com/infiniflow/ragflow/pull/8149)
### Added models
@ -209,7 +209,7 @@ Released on May 26, 2025.
### New features
- [Cross-language search](./references/glossary.mdx#cross-language-search) is supported in the Knowledge and Chat modules, enhancing search accuracy and user experience in multilingual environments, such as in Chinese-English knowledge bases.
- [Cross-language search](./references/glossary.mdx#cross-language-search) is supported in the Knowledge and Chat modules, enhancing search accuracy and user experience in multilingual environments, such as in Chinese-English datasets.
- Agent component: A new Code component supports Python and JavaScript scripts, enabling developers to handle more complex tasks like dynamic data processing.
- Enhanced image display: Images in Chat and Search now render directly within responses, rather than as external references. Knowledge retrieval testing can retrieve images directly, instead of texts extracted from images.
- Claude 4 and ChatGPT o3: Developers can now use the newly released, most advanced Claude model and OpenAI’s latest ChatGPT o3 inference model.
@ -238,7 +238,7 @@ From this release onwards, built-in rerank models have been removed because they
### New features
- MCP server: enables access to RAGFlow's knowledge bases via MCP.
- MCP server: enables access to RAGFlow's datasets via MCP.
- DeepDoc supports adopting VLM model as a processing pipeline during document layout recognition, enabling in-depth analysis of images in PDF and DOCX files.
- OpenAI-compatible APIs: Agents can be called via OpenAI-compatible APIs.
- User registration control: administrators can enable or disable user registration through an environment variable.
@ -330,7 +330,7 @@ Released on March 3, 2025.
- AI chat: Implements Deep Research for agentic reasoning. To activate this, enable the **Reasoning** toggle under the **Prompt engine** tab of your chat assistant dialogue.
- AI chat: Leverages Tavily-based web search to enhance contexts in agentic reasoning. To activate this, enter the correct Tavily API key under the **Assistant settings** tab of your chat assistant dialogue.
- AI chat: Supports starting a chat without specifying knowledge bases.
- AI chat: Supports starting a chat without specifying datasets.
- AI chat: HTML files can also be previewed and referenced, in addition to PDF files.
- Dataset: Adds a **PDF parser**, aka **Document parser**, dropdown menu to dataset configurations. This includes a DeepDoc model option, which is time-consuming, a much faster **naive** option (plain text), which skips DLA (Document Layout Analysis), OCR (Optical Character Recognition), and TSR (Table Structure Recognition) tasks, and several currently *experimental* large model options. See [here](./guides/dataset/select_pdf_parser.md).
- Agent component: **(x)** or a forward slash `/` can be used to insert available keys (variables) in the system prompt field of the **Generate** or **Template** component.
@ -369,16 +369,16 @@ Released on February 6, 2025.
### New features
- Supports DeepSeek R1 and DeepSeek V3.
- GraphRAG refactor: Knowledge graph is dynamically built on an entire knowledge base (dataset) rather than on an individual file, and automatically updated when a newly uploaded file starts parsing. See [here](https://ragflow.io/docs/dev/construct_knowledge_graph).
- GraphRAG refactor: Knowledge graph is dynamically built on an entire dataset rather than on an individual file, and automatically updated when a newly uploaded file starts parsing. See [here](https://ragflow.io/docs/dev/construct_knowledge_graph).
- Adds an **Iteration** agent component and a **Research report generator** agent template. See [here](./guides/agent/agent_component_reference/iteration.mdx).
- New UI language: Portuguese.
- Allows setting metadata for a specific file in a knowledge base to enhance AI-powered chats. See [here](./guides/dataset/set_metadata.md).
- Allows setting metadata for a specific file in a dataset to enhance AI-powered chats. See [here](./guides/dataset/set_metadata.md).
- Upgrades RAGFlow's document engine [Infinity](https://github.com/infiniflow/infinity) to v0.6.0.dev3.
- Supports GPU acceleration for DeepDoc (see [docker-compose-gpu.yml](https://github.com/infiniflow/ragflow/blob/main/docker/docker-compose-gpu.yml)).
- Supports creating and referencing a **Tag** knowledge base as a key milestone towards bridging the semantic gap between query and response.
- Supports creating and referencing a **Tag** dataset as a key milestone towards bridging the semantic gap between query and response.
:::danger IMPORTANT
The **Tag knowledge base** feature is *unavailable* on the [Infinity](https://github.com/infiniflow/infinity) document engine.
The **Tag dataset** feature is *unavailable* on the [Infinity](https://github.com/infiniflow/infinity) document engine.
:::
### Documentation
@ -415,7 +415,7 @@ Released on December 25, 2024.
This release fixes the following issues:
- The `SCORE not found` and `position_int` errors returned by [Infinity](https://github.com/infiniflow/infinity).
- Once an embedding model in a specific knowledge base is changed, embedding models in other knowledge bases can no longer be changed.
- Once an embedding model in a specific dataset is changed, embedding models in other datasets can no longer be changed.
- Slow response in question-answering and AI search due to repetitive loading of the embedding model.
- Fails to parse documents with RAPTOR.
- Using the **Table** parsing method results in information loss.
@ -442,7 +442,7 @@ Released on December 18, 2024.
### New features
- Introduces additional Agent-specific APIs.
- Supports using page rank score to improve retrieval performance when searching across multiple knowledge bases.
- Supports using page rank score to improve retrieval performance when searching across multiple datasets.
- Offers an iframe in Chat and Agent to facilitate the integration of RAGFlow into your webpage.
- Adds a Helm chart for deploying RAGFlow on Kubernetes.
- Supports importing or exporting an agent in JSON format.