DSH-RAG
Run the following command in DeepSeek Harness:
dsh plugin install imkelt/DSH-RAG
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, you can install the DSH-RAG plugin by running the command `dsh plugin install imkelt/DSH-RAG`. The full source code is available at https://github.com/imkelt/DSH-RAG.
About this plugin
In our daily work, we often need to query or retrieve information from locally stored documents, but traditional chat tools usually can't access these files directly or rely on the model's decisions for retrieval, leading to unreliable results. DSH-RAG solves this by converting authorized local folders into searchable knowledge bases. It uses explicit /rag commands to complete retrieval before the model answers, providing verifiable evidence with source citations. Its core capabilities include managing named knowledge bases, session-scoped search, hybrid retrieval with offline fallback, and incremental parsing of local documents. This plugin is ideal for researchers, writers, IT professionals, and anyone who needs to efficiently manage and retrieve information from large collections of local documents, all while prioritizing data privacy with local processing.
Screenshots
Use Cases
- Quickly retrieve local documents within project sessions to support Q&A.
- Build searchable knowledge bases from research materials and extract verifiable evidence.
- Manage document collections in offline environments for efficient information retrieval.
Best For
- Researchers and students for literature management and academic work.
- Content creators like writers and bloggers handling local material libraries.
- IT professionals and project managers managing technical documents and project files.
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