AI Agent Hub
Back to plugins
🤖

jina-web-search-dsh-plugin

Model Inference Updated 2026.08.18

Run the following command in DeepSeek Harness:

dsh plugin install minatoAI/jina-web-search-dsh-plugin

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install minatoAI/jina-web-search-dsh-plugin in your terminal to install the plugin, whose source code lives at https://github.com/minatoAI/jina-web-search-dsh-plugin , then restart DSH and configure the Jina API key in the Web settings page.

About this plugin

DeepSeek Harness includes a dependable web_search for routine lookups, yet it struggles once a query leans academic. arXiv hits frequently resolve to mirror domains rather than official papers, SSRN social-science literature is completely unsupported, and the platform offers no built-in route to text embedding, relevance reranking, or PDF formula extraction. jina-web-search-dsh-plugin closes that gap by exposing all twelve jina_* model tools natively inside dsh, letting an agent invoke them in the middle of a conversation without the user juggling a separate CLI or writing bespoke API calls.

In research-heavy workflows the plugin carves arXiv and SSRN into two purpose-built tools whose names correspond directly to their target domain, so the model routes queries straight to arxiv.org or papers.ssrn.com official links. General web search layers on time-range filtering, region and language hints, and first-rank prioritisation for authoritative Chinese-language sources such as government portals and corporate sites. Beyond retrieval the toolkit spans web-page-to-Markdown conversion, full-page screenshot capture, query expansion, text vectorisation with jina-embeddings-v5, relevance reranking via jina-reranker-v3.5, text classification, PDF chart and formula extraction, and a jina_primer tool that surfaces the host clock, public IP, and Jina account balance on demand.

The plugin suits graduate students and researchers conducting literature reviews within DSH, Chinese-language content creators who need credible, time-filtered search results, and developers assembling headless NLP pipelines that chain search through embedding and reranking in a single pass. Mainland-China network users additionally gain automatic system-proxy discovery on every call, self-healing when a VPN shifts its port, and descriptive error messages when no tunnel is active.

Use Cases

  • Retrieving official arXiv and SSRN paper links directly inside DSH conversations
  • Converting web pages to clean Markdown and extracting charts and formulas from PDFs
  • Chaining text embedding and relevance reranking into a single NLP pipeline

Best For

  • Graduate students and researchers conducting literature reviews within DSH
  • Chinese-language content creators who need time-filtered and authoritative search results
  • NLP developers building search-to-embedding-to-reranking pipelines