What can an AI teammate do with Jina?

A Jina AI assistant can fetch any URL and return its content as clean, structured markdown, run grounded web searches, generate text embeddings for semantic similarity, and rerank retrieved passages by relevance. It can operate on a schedule or on demand, for example, extracting content from a list of URLs each morning, embedding new documents as they arrive, or verifying facts before publishing a report.

How is the reader API different from regular web scraping?

Jina's reader API returns a clean, boilerplate-free markdown version of any page, no parsing HTML, stripping ads, or handling JavaScript rendering yourself. The output is immediately ready for an LLM to read without wasting context on navigation menus and cookie banners.

Can my teammate use Jina embeddings with other vector databases?

Yes. The embed action returns raw float vectors that you can store in any vector database - Pinecone, Weaviate, pgvector, Chroma, or similar. Your teammate can embed text, pass the vectors to a storage tool, and query them later as part of a multi-step RAG workflow.

Does my Jina API key have usage limits?

Yes. Each Jina API call consumes tokens or credits from your Jina account according to their standard pricing. Your AI teammate only makes calls when actively running a task, so you stay in control of usage. You can set task frequency or add instructions to limit the number of URLs read per run.

Developer tools

AI Teammate for Jina

An AI teammate that reads web pages, searches the web, and generates embeddings for AI workflows.

Your AI teammate for Jina AI reads any URL as clean markdown, runs grounded web searches, generates text embeddings, and reranks results for semantic relevance. An ideal AI assistant for research pipelines, RAG workflows, and content extraction at scale. Write actions always require your approval.

Raw web pages are noisy and unstructured - LLMs waste context and lose accuracy trying to parse them. Connecting Jina gives your AI teammate a clean pipeline from any URL or query to structured, LLM-ready content, so it can research, extract, embed, and rank without needing custom scraping logic.

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What your AI teammate can do with Jina

Read-only actions run automatically. Write actions require your approval.

Read-only actions

read url

Convert any webpage to clean markdown for AI processing

search web

Run a grounded web search and return ranked, clean results

embed text

Generate vector embeddings for text using Jina embedding models

rerank results

Reorder a list of passages by relevance to a query

check facts

Ground a statement against live web sources to verify accuracy

Example workflows with Jina

Real tasks you can run on a schedule or on demand.

task

extract clean content from any URL and summarize it for a research digest

task

build a RAG pipeline by embedding documents and reranking retrieved chunks

task

run grounded web searches to verify claims before including them in a report

task

monitor competitor pages by reading and comparing their content on a schedule

How to connect Jina

Create a free m8tes account.

Connect Jina

Click Connect and complete the OAuth flow or enter your API key.

Create a task

Give your AI teammate a task that uses Jina. It handles the rest.

Jina AI teammate: FAQ

Common questions about using an AI teammate with Jina.

Build an AI teammate for Jina

Connect Jina to an autonomous AI teammate that reads data, runs tasks on schedule, and delivers structured output.

AI teammates — all integrations
Build a teammate that uses Jina alongside your other tools.

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