Jina AI
Jina AI embeddings, reader, and rerank
Jina AI is the embedding-and-retrieval infrastructure provider — strong multilingual embedding models, the Reader API for "scrape any URL into LLM-ready text", and a Rerank model for second-stage relevance scoring in RAG pipelines. Tiny Command exposes three actions, no triggers: Create Embeddings (against jina-embeddings-v3 — 1024d multilingual embeddings, strong on the MTEB leaderboard), Reader (URL → LLM-ready) (Jina's distinctive feature — pass any URL, get back cleaned-text Markdown ready to drop into an LLM prompt, handles JS-rendered pages, ads/nav stripping, structure preservation), Rerank (second-stage reranking — take a query and a list of candidate documents, get them re-scored for relevance using jina-reranker-v2). The connection uses a Jina API key from jina.ai. The Reader API is the standout — much cheaper than full Browserbase + LLM extraction for "what does this article say" workflows, and the output quality is high enough for most RAG ingestion pipelines.
Do anything Jina AI can do, from a workflow.
Every action accepts dynamic inputs from upstream nodes, whether that's an AI output, a form field, or a search result.
| Action | What it does |
|---|---|
| Jina Embeddings | Generates embeddings using jina-embeddings-v3 — 1024d multilingual embeddings, strong on the MTEB leaderboard. For RAG vector generation in workflows that need solid retrieval accuracy across many languages. |
| Jina Reader (URL → LLM-ready) | Fetches any URL and returns cleaned-text Markdown ready to drop into an LLM prompt. Handles JS-rendered pages, strips ads/nav, preserves structure. The distinctive Jina feature. |
| Jina Rerank | Second-stage reranker for RAG — takes a query and candidate documents, returns them re-scored by relevance using the cross-encoder. Significantly improves RAG answer quality vs single-stage retrieval. |
Pre-built Jina AI workflows.
Clone any recipe and customize it in one click. Every recipe is fully editable.
Three things worth knowing.
Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.
Connect Jina AI once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.
Every Jina AI field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.
Questions about the Jina AI integration.
If we missed yours, ping support. We usually reply within an hour.
How do I connect Jina AI to Tiny Command?
What Jina AI triggers does Tiny Command support?
What Jina AI actions can I run from a workflow?
Is the Jina AI integration real-time?
Do I need to write code to use Jina AI with Tiny Command?
How much does the Jina AI integration cost?
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Do more with Jina AI.
Wire it to Slack, Notion, HubSpot, Stripe, or any of the other 438 apps in our catalog. Setup takes roughly two minutes. Free to try, no credit card.
