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Doc: Added v0.21.0 release notes (#10559)

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@ -22,6 +22,34 @@ The embedding models included in a full edition are:
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.
:::
## v0.21.0
Released on October 15, 2025.
### New features
- Orchestratable ingestion pipeline: Supports customized data ingestion and cleansing workflows, enabling users to flexibly design their data flows or directly apply the official data flow templates on the canvas.
- GraphRAG & RAPTOR write process optimized: Replaces the automatic incremental build process with manual batch building, significantly reducing construction overhead.
- Long-context RAG: Automatically generates document-level table of contents (TOC) structures to mitigate context loss caused by inaccurate or excessive chunking, substantially improving retrieval quality. This feature is now available via a TOC extraction template.
- Video file parsing: Expands the system's multimodal data processing capabilities by supporting video file parsing.
- Admin CLI: Introduces a new command-line tool for system administration, allowing users to manage and monitor RAGFlow's service status via command line.
### Improvements
- Redesigns RAGFlow's Login and Registration pages.
- Upgrades RAGFlow's document engine Infinity to v0.6.0.dev7.
### Added models
- Tongyi Qwen 3 series
- Claude Sonnet 4.5
- Meituan LongCat-Flash-Thinking
## New agent templates
- Company Research Report Deep Dive Agent: Designed for financial institutions to help analysts quickly organize information, generate research reports, and make investment decisions.
- Orchestratable Ingestion Pipeline Template: Allows users to apply this template on the canvas to rapidly establish standardized data ingestion and cleansing processes.
## v0.20.5
Released on September 10, 2025.