Who it is built for
- Developers building enterprise search and RAG systems
- Teams needing multilingual or multimodal retrieval
- Applications that need web pages converted into LLM-ready content
Search foundation APIs for retrieval and LLM grounding
Jina AI provides APIs and models for building search and retrieval systems. Developers can convert web pages to LLM-ready Markdown, generate multilingual multimodal embeddings, and rerank documents to improve relevance in enterprise search and RAG applications.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Fetches web pages and converts their content into LLM-friendly Markdown or structured responses.
Provides embedding models for retrieval across text, images, audio, video, and multilingual content.
Ranks candidate documents by relevance to a query to refine search and retrieval results.
Create an API key and call the Reader, Embeddings, or Reranker endpoint from an application or agent workflow. The APIs return extracted content, vector representations, or relevance-ranked documents for use in search and RAG systems.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.