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Code Issues 775 Packages Projects Releases 10 Wiki Activity

Bedrock introduced a new feature: retrieve and generate #7882

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opened 2026-02-21 18:22:51 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 18:22:51 -05:00
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Originally created by @warren830 on GitHub (Jan 24, 2025).

Self Checks

  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）
  • Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

This functionality offers three key advantages:

First, its query modification capability enhances retrieval accuracy by intelligently reformulating queries to better match relevant information.

Second, it generates responses with a citation-based approach, similar to academic papers. Each statement is clearly linked to its source, providing full transparency.

Finally, it combines retrieval and large language model generation into a single, seamless API call. This creates a complete RAG (Retrieval Augmented Generation) pipeline without requiring separate steps.

2. Additional context or comments

No response

3. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @warren830 on GitHub (Jan 24, 2025). ### Self Checks - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [x] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. This functionality offers three key advantages: First, its query modification capability enhances retrieval accuracy by intelligently reformulating queries to better match relevant information. Second, it generates responses with a citation-based approach, similar to academic papers. Each statement is clearly linked to its source, providing full transparency. Finally, it combines retrieval and large language model generation into a single, seamless API call. This creates a complete RAG (Retrieval Augmented Generation) pipeline without requiring separate steps. ### 2. Additional context or comments _No response_ ### 3. Can you help us with this feature? - [x] I am interested in contributing to this feature.
yindo added the 💪 enhancement👻 feat:rag labels 2026-02-21 18:22:51 -05:00
yindo closed this issue 2026-02-21 18:22:51 -05:00
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Reference: langgenius/dify#7882
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