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dsh-kb-rag

Local-first literature RAG plugin for DeepSeek Harness with exact passage provenance and citation linking.

VisionUI & ProductivityDeveloper ToolsBrowser & WebSkills & Workflows
14GitHub Stars4ForksUpdated2026-09-23

Install

$ dsh plugin --profile web add dsh-kb-rag

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-kb-rag is a local-first academic literature knowledge base plugin for DeepSeek Harness. It indexes PDFs and Zotero libraries into a local SQLite database and performs hybrid retrieval (BM25 and BGE vector embeddings) with cross-encoder reranking. Results provide exact passage locations, PDF page anchors, clickable DOIs, and connected citation chains without uploading data to external APIs.

Key Capabilities

  • Local hybrid retrieval combining BM25 keyword matching with BAAI/bge embeddings and RRF fusion
  • Cross-encoder reranking with BAAI/bge-reranker-base to deliver top passage-level evidence
  • Exact provenance reporting with section titles, physical PDF page anchors, and clickable DOIs
  • Direct Zotero library migration and synchronization including PDF attachments
  • In-text citation parsing and superscript reference resolution mapped against indexed library works
  • Asynchronous background ingestion for large document batches with progress polling
  • SHA-256 incremental hashing to skip unchanged files during re-indexing

Useful For

  • Academic research literature discovery and precise evidence retrieval within DeepSeek Harness
  • Verifying citations and locating specific experimental methods or results directly to PDF pages
  • Synchronizing and questioning personal Zotero reference libraries locally without cloud uploads

Who It Fits

  • Researchers and academic scholars managing PDF and Zotero libraries
  • Engineers and developers conducting literature reviews and technical reference lookups in DSH

Documented Limitations

  • Does not perform OCR on scanned PDFs lacking a text layer
  • Initial query experiences loading latency while downloading and loading local BGE models into memory
  • Figure captions are indexed as plain text rather than parsed visual images

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 0 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Breeze136/dsh-kb-rag
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
56d34e0 · 2026-10-08

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
14GitHub stars
Forks
4
Open issues
3
Last commit
2026-09-23
Last release
2026-09-14
For maintainers

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Listed on DSHPlugin.app