Jina AI ranks #9 in Web Data Infrastructure for AI AI search.

Jina AI is a Berlin-founded (2020) search foundation company providing a unified API suite for building AI-native search and retrieval pipelines. Its core products are: Reader API (URL-to-LLM-friendly Markdown/JSON conversion), Embeddings (multimodal, multilingual dense and late-interaction models), Reranker API (cross-lingual relevance scoring), and Small Language Models (ReaderLM for structured HTML extraction). Jina targets developers and enterprises building RAG systems, semantic search, and agentic AI applications. Models are released open-source on Hugging Face under Apache-2.0 licensing, supported by active academic publication. The company was acquired by Elastic (NYSE: ESTC) in October 2025 and is now a dedicated search model brand within Elastic's ecosystem. It is SOC 2 Type 1 and 2 compliant.

Jina AI provides a search foundation API suite—Reader, Embeddings, Reranker, and Small Language Models—that covers every layer of a modern RAG or AI search stack. The Reader API converts any public URL or HTML to clean, LLM-ready Markdown or JSON. Embedding models (led by jina-embeddings-v4, a 3.8B multimodal model) support dense and late-interaction retrieval across text and images in 100+ languages. The Reranker API (jina-reranker-v3) reorders initial retrieval results for higher relevance. ReaderLM-v2, a small language model, performs structured HTML-to-Markdown or JSON extraction. Post-acquisition by Elastic, Jina models are integrated into the Elastic Inference Service on Elastic Cloud.