--- title: "Jina AI Integration" description: "Build search and RAG workflows with Jina AI: embeddings, reranking, web-page reading, web search, and zero-shot classification through one search-foundation connector." url: https://flowrunner.ai/integrations/jina date_modified: 2026-08-07T17:20:23-07:00 --- # Jina AI [AI](https://flowrunner.ai/integrations/category/ai-llms) Build search and RAG workflows with Jina AI: embeddings, reranking, web-page reading, web search, and zero-shot classification through one search-foundation connector. [Verified](https://flowrunner.ai/integrations/verified "What does verified mean?") · 7 actions · API key · available [Jina AI website](https://jina.ai/) · [Platform Documentation](https://docs.jina.ai/) · Capability data verified 2026-07-14 1. Analyst requests a briefing on a company 2. Agent runs a web search for recent sources on the company 3. Agent reads each result URL into clean text with the Reader 4. Agent reranks the passages by relevance to the question 5. Agent assembles a sourced brief from the top passages 6. Analyst gets the brief with links to every source 7. The analyst reviews and verifies before the brief is used ## What This Integration Enables Jina covers retrieval as a pipeline. Web search finds sources, the Reader turns any URL into clean, model-ready text, embeddings vectorize content, reranking orders passages by true relevance, and zero-shot classification labels text without training. Together they are the ingredients of a grounded answer. The Reader is the quiet workhorse: it removes the navigation, ads, and boilerplate that make raw scraped pages useless to a model. But retrieval only becomes trustworthy when a person owns the answers that carry weight. An orchestration layer runs the search-read-rerank pipeline and decides which briefs go out automatically and which get a human check. FlowRunner is built for that layer. ### Without FlowRunner **Manual web research**: An analyst opens, reads, and copies from source after source **Messy page content**: Scraped pages come back full of navigation and ads **Weak retrieval**: Search returns loosely-related results in no useful order ### With FlowRunner **Automated gathering**: The agent searches and reads sources into clean text **Clean readable text**: The Reader strips pages to the content that matters **Reranked relevance**: The most relevant passages rise to the top ## Use Case Scenarios ### Automated Research Briefs An analyst requests a briefing on a company. The agent runs a web search, reads each result into clean text with the Reader, reranks the passages by relevance to the question, and assembles a sourced brief. The analyst gets a draft with links to every source and reviews it before use. The hours of opening and skimming sources collapse into a checkable draft. ### Grounded Q&A Over the Web A question needs an answer grounded in current public information. The agent searches, reads the top sources, reranks, and generates an answer citing the passages it used. Confident, well-sourced answers return directly; questions where the sources conflict or the retrieval is thin are routed to a person rather than answered on shaky ground. ### Content Classification at Ingest Incoming content needs labels without a trained classifier. The agent uses zero-shot classification to tag each item against your label set. Confident labels are applied automatically; ambiguous items are held for a person, so the taxonomy stays clean as new content arrives. ## Human-in-Loop Highlight A research brief assembled from web sources is a starting point a person should verify, not a finished fact. When Jina produces a brief or a grounded answer that will be acted on, FlowRunner routes it through a [human-in-the-loop](https://flowrunner.ai/concepts/human-in-the-loop) step: the agent pauses, presents the answer with every source link, and sends it to the analyst via Slack. They verify the sources and confirm. The pipeline gathers and orders the evidence; a person owns the conclusion. Agent processes routinely Detects exception requiring judgment Clear match Continues automatically Ambiguous Routes to human via Slack Human decides Agent resumes with decision ## Agent Capabilities 7 actions ### Embeddings 1 - **Create Embeddings** Generates vector embeddings for one or more input texts using Jina's embedding models (default jina-embeddings-v3). ### Search & Ranking 1 - **Rerank Documents** Reorders a set of candidate documents by semantic relevance to a query using Jina's reranker models (default jina-reranker-v2-base-multilingual). ### Reader 3 - **Read URL** Fetches a web page through Jina Reader and returns clean, LLM-ready content (markdown by default). - **Search Web** Runs a web search through Jina Search and returns the top results already fetched and cleaned into LLM-ready content, so each result carries usable page text rather than just a snippet. - **Deep Search** Runs an agentic deep-research search with jina-deepsearch-v1. Given a conversation (messages), it iteratively searches the web, reads pages, and reasons to produce a grounded, cited answer to complex questions. ### Classification 2 - **Classify Texts** Performs zero-shot classification of one or more input texts against a set of candidate labels using a Jina embedding or classifier model. - **Segment Text** Tokenizes and splits long text into smaller chunks using Jina Segmenter. Returns the total token count and, when requested, the list of text chunks bounded by a maximum chunk length. ## Frequently Asked Questions ### What can FlowRunner do with Jina AI? FlowRunner agents can run Create Embeddings, Rerank Documents, and Read URL in Jina AI, plus 4 more actions. ### Does connecting Jina AI to FlowRunner require OAuth? No. Jina AI connects to FlowRunner with an API key, no OAuth flow required. ### Can Jina AI trigger a FlowRunner workflow automatically? Jina AI doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger. **Work at Jina AI?** This integration exposes Jina AI to AI agents on every FlowRunner plan, including through MCP, at no cost to you. [See what FlowRunner offers integration partners](https://flowrunner.ai/integrations/partners), including how to keep this page current. --- Markdown version of https://flowrunner.ai/integrations/jina. Site index: https://flowrunner.ai/llms.txt