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Docs: Added v0.19.0 release notes (#7818)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -13,6 +13,32 @@ Each RAGFlow release is available in two editions:
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- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0`
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- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0`
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:::danger IMPORTANT
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:collision: The embedding models included in a full edition are:
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- BAAI/bge-large-zh-v1.5
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- maidalun1020/bce-embedding-base_v1
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Please note these two embedding models support both English and Chinese. If your knowledge base contains other languages, the performance may be COMPROMISED.
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:::
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## v0.19.0
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Released on May 26, 2025.
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### New features
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- 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.
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- Agent component: A new Code component supports Python and JavaScript scripts, enabling developers to handle more complex tasks like dynamic data processing.
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- 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.
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- Claude 4: Developers can now use the newly released, most advanced Claude model.
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> The following features are contributed by our community contributors:
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- Agent component: Enables tool calling within the Generate Component. Kudos to [notsyncing](https://github.com/notsyncing).
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- Markdown rendering: Image references in a markdown file can be displayed after chunking. Kudos to [Woody-Hu](https://github.com/Woody-Hu).
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- Vector database support: OpenSearch can now be used as RAGFlow's document engine. Kudos to [pyyuhao](https://github.com/pyyuhao).
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## v0.18.0
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## v0.18.0
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Released on April 23, 2025.
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Released on April 23, 2025.
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