Your Search Foundation Supercharged.

Use r.jina.ai to read a URL and fetch its content

Use s.jina.ai to search the web and get SERP

Add mcp.jina.ai as your MCP server to use our APIs in LLMs

curl "https://r.jina.ai/https://www.example.com"

API key

Available tokens

0

This is your unique key. Store it securely!

For Better Search

Our frontier models form the search foundation for high-quality enterprise search and RAG systems.

Reader

Convert a URL to LLM-friendly input by prepending r.jina.ai.

Embeddings

Multimodal multilingual embeddings.

Reranker

Reranker for maximizing search relevance.

Our Publications

See how our frontier search models were trained from scratch, and check out our latest publications. Meet our team at EMNLP, SIGIR, ICLR, NeurIPS and ICML!

September 02, 2026

jina-ocr-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers

February 17, 2026

jina-embeddings-v5-text: Task-Targeted Embedding Distillation

January 22, 2026

Embedding Compression via Spherical Coordinates

December 29, 2025

Vision Encoders in Vision-Language Models: A Survey

December 04, 2025

Jina-VLM: Small Multilingual Vision Language Model

October 01, 2025

jina-reranker-v3: Last but Not Late Interaction for Document Reranking

August 31, 2025

Efficient Code Embeddings from Code Generation Models

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

ReaderLM-v2: Small Language Model for HTML to Markdown and JSON

December 17, 2024

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

December 12, 2024

jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images

September 18, 2024

jina-embeddings-v3: Multilingual Embeddings With Task LoRA

September 07, 2024

Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

August 30, 2024

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models

Jina CLIP: Your CLIP Model Is Also Your Text Retriever

February 26, 2024

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

October 30, 2023

Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models

21 publications in total.