dsh-kb-manager
Run the following command in DeepSeek Harness:
dsh plugin install xiaoshi7915/dsh-kb-manager
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install xiaoshi7915/dsh-kb-manager in DeepSeek Harness to install this plugin; the full source repository is at https://github.com/xiaoshi7915/dsh-kb-manager .
About this plugin
Building a local RAG pipeline inside DeepSeek Harness usually means spinning up a vector database, an embedding service, and a retrieval middleware. dsh-kb-manager collapses that entire stack into a single plugin: multi-format import, CJK-aware smart chunking, SQLite-native vector plus full-text indexing, hybrid search, and citation tracing — all local, zero external processes.
The retrieval pipeline runs sqlite-vec KNN and FTS5 BM25 in parallel, merges via RRF, and optionally applies a reranker whose state is always returned explicitly as applied, fallback_rrf, or disabled, eliminating silent degradation. Imports and rebuilds are asynchronous with crash recovery and cooperative cancellation; deletes are millisecond soft-deletes that rebuild_index physically compacts, leaving no orphan vectors. All 22 Agent tools share a unified ok / data / error envelope, and every search result is flagged untrusted: true so the Agent always knows where data ends and instructions begin.
It suits developers and small teams working in DeepSeek Harness who deal with Chinese, Japanese, or Korean documents and want zero-dependency local retrieval. A single profile line gets it running offline, and the optional Web panel adds live import progress, hybrid search, and snapshot management with a visual interface.
Screenshots
Use Cases
- Import project docs into a local KB and query with natural language for cited answers
- Chunk and hybrid-search multilingual CJK documents with vector and full-text retrieval
- Manage KB import, index rebuild, and safe deletion within an Agent workflow
Best For
- Developers handling CJK documents inside DeepSeek Harness
- Small teams needing a zero-dependency local RAG pipeline
- Builders adding robust retrieval and citation tracing to Agent workflows
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