What can an AI agent do with Jina?

A Jina AI agent 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 agent 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 agent 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 agent 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.