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Doc: v0.25.0 release notes. (infiniflow#14284)
### What problem does this PR solve? Added v0.25.0 release notes ### Type of change - [x] Documentation Update
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docs/release_notes.md

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Released on April 21, 2026.
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### Ingestion pipeline
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- Added 7 built-in pipeline templates aligned with RAGFlow’s native document parsers.
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- Several new templates bring significant parsing improvements.
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### Data source
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- New data sources: Seafile, RSS, DingTalk AI Sheet.
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- Added synchronization for file deletions from data sources.
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### Agent
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- Introduced agent publishing capability
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- Sandboxed code execution and chart generation
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- New template: Data Analysis Agent
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### Memory
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- User-level memory storage and retrieval.
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### Language
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- New language support: Arabic, Bulgarian, Turkish
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### Model provider
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- [avian.io](https://avian.io/)
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- [ragcon.ai](https://ragcon.ai/)
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### New features
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- Agent
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- Introduces seven prebuilt ingestion pipeline templates.
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- Agent apps can be published.
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- Supports sandbox code execution and chart generation.
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- Adds a beginner's data analytics Agent template.
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- Memory: Supports user-level memory storage and retrieval.
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- New UI language: Arabic (implemented a Right-to-Left layout), Bulgarian, and Turkish.
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- Ecosystem integration: RAGFlow datasets are accessible via OpenClaw.
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### Improvements
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- Optimizes Docx parsing by supporting image lazy-loading, reducing memory footprint.
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- Optimizes Chat, Agent, and Search embedded dialog pages for mobile compatibility.
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- Underlying system & infrastructure optimization:
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- Bumps RAGFlow's document engine, Elasticsearch to 9.x.
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- Switches the default object storage container to `pgsty/minio` due to the deprecation of the official MinIO images.
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- Adds database migration scripts; see [this readme](https://github.com/infiniflow/ragflow/tree/74b44e1aa3ecd6687b3aa4ef731d0187720c3cb5/tools/scripts) for further details.
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### Model support
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- MiniMax-M2.7 series models
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- Perplexity embedding model: pplx-embed
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- Tongyi rerank model
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- MiniMax-M2.7 series
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- Perplexity embedding model (pplx-embed)
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- Tongyi rerank model
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### Improvements
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- Improved DOCX parsing strategy with lazy-load support for images, reducing memory consumption.
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- DocEngine: supports upgrade to Elasticsearch 9.x.
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- Embedded chat pages in Chat / Agent / Search are now compatible with mobile devices.
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- Due to MinIO’s official image no longer being maintained, the default object storage container has been changed to pgsty/minio.
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- Database Upgrade: added database upgrade scripts. See documentation: https://github.com/infiniflow/ragflow/blob/main/tools/scripts/README.md.
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### New model providers
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- avian.io
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- ragcon.ai
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### Ecosystem
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- RAGFlow can now be accessed via OpenClaw: https://clawhub.ai/yingfeng/ragflow-skill
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### Data sources
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- Seafile
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- RSS
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- DingTalk AI Table
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- GitHub: Enables synchronization for deleted files.
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## v0.24.0
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- Memory: Enhances the stability of memory extraction when all memory types are selected.
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- RAG: Refines the context window extraction strategy for images and tables.
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### Fixed issues
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- Memory:
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### New features
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- Memory
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- Implements a **Memory** interface for managing memory.
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- Supports configuring context via the **Retrieval** or **Message** component.
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- Implements a **Memory** interface for managing memory.
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- Supports configuring context via the **Retrieval** or **Message** component.
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- Agent
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- Improves the **Agent** component's performance by refactoring the underlying architecture.
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- The **Agent** component can now output structured data for use in downstream components.
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- Supports using webhook to trigger agent execution.
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- Supports voice input/output.
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- Supports configuring multiple **Retrieval** components per **Agent** component.
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- Improves the **Agent** component's performance by refactoring the underlying architecture.
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- The **Agent** component can now output structured data for use in downstream components.
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- Supports using webhook to trigger agent execution.
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- Supports voice input/output.
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- Supports configuring multiple **Retrieval** components per **Agent** component.
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- Ingestion pipeline
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- Supports extracting table of contents in the **Transformer** component to improve long-context RAG performance.
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- Dataset
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- Supports configuring context window for images and tables.
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- Introduces parent-child chunking strategy.
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- Supports auto-generation of metadata during file parsing.
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- Supports configuring context window for images and tables.
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- Introduces parent-child chunking strategy.
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- Supports auto-generation of metadata during file parsing.
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- Chat: Supports voice input.
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### Improvements

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