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A collection of 19 posts

Open red publication "ReSearch" volume 24 displayed on a white surface with a distinctive shadow casting over the pages.

Re·Search: Order 2024 Yearbook of Search Foundation Advances

Discover Re·Search, our premium yearbook showcasing our best research articles and search foundation models in 2024. Featuring spot UV-coated hardcover, 160 full-color pages, and meticulous design throughout. Available worldwide at $35, shipping included.

Digital number "2" displayed in a mosaic of colorful squares against a dark background, creating a futuristic vibe.

Jina CLIP v2: Multilingual Multimodal Embeddings for Text and Images

Jina-CLIP v2, a 0.9B multimodal embedding model with multilingual support of 89 languages, high image resolution at 512x512, and Matryoshka representations.

Abstract artistic portrait using a montage of colorful squares and scattered text.

Jina Classifier API for High Performance Zero-Shot and Few-Shot Classification

New Classifier API offers zero-shot and few-shot classification for text and images. Start classifying content instantly or train it with your own examples.

Jina developer interface showing "Jina AI was founded in 2020" with controls labeled true and false, and web address on top.

Fact-Checking with New Grounding API in Jina Reader

With the new g.jina.ai, you can easily ground statements to reduce LLM hallucinations or improve the integrity of human-written content.

Dynamic image showing the characters "V3" formed by bright green dots varying in size on a black background.

Jina Embeddings v3: A Frontier Multilingual Embedding Model

jina-embeddings-v3 is a frontier multilingual text embedding model with 570M parameters and 8192 token-length, outperforming the latest proprietary embeddings from OpenAI and Cohere on MTEB.

Technical screenshot displaying "REAPER-LM-0.5B/1.5B" with HTML source code for Jina's search grounding feature.

Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown

Reader-LM-0.5B and Reader-LM-1.5B are two novel small language models inspired by Jina Reader, designed to convert raw, noisy HTML from the open web into clean markdown.

Dark-themed coding interface displaying English and Japanese characters with "JINA COLBERT V2" highlighted in the center.

Jina ColBERT v2: Multilingual Late Interaction Retriever for Embedding and Reranking

Jina ColBERT v2 supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.

Black background with word 'RERANKER' in white at left and a stylized white question mark design at the right.

Jina Reranker v2 for Agentic RAG: Ultra-Fast, Multilingual, Function-Calling & Code Search

Jina Reranker v2 is the best-in-class reranker built for Agentic RAG. It features function-calling support, multilingual retrieval for over 100 languages, code search capabilities, and offers a 6x speedup over v1.

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Jina CLIP v1: A Truly Multimodal Embeddings Model for Text and Image

Jina AI's new multimodal embedding model not only outperforms OpenAI CLIP in text-image retrieval, it's a solid image embedding model and state-of-the-art text embedding model at the same time. You don't need different models for different modalities any more.

Flowchart detailing Jina AI's info search using LLM, starting with "when was Jina AI founded?" and various process steps.

Jina Reader for Search Grounding to Improve Factuality of LLMs

Grounding is essential for GenAI apps. Our new https://s.jina.ai/ allows LLMs to access the latest knowledge from the web, enabling search grounding and making responses more trustworthy.

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Smaller, Faster, Cheaper: Introducing Jina Rerankers Turbo and Tiny

Jina AI announces new reranker models: Jina Rerankers Turbo (jina-reranker-v1-turbo-en) and Tiny (jina-reranker-v1-tiny-en), now available on AWS Sagemaker and Hugging Face, offering faster, memory-efficient, high-performance reranking.

Abstract design with "Reranker" in white, centered on a black background, surrounded by green and blue dots forming circles.

Maximizing Search Relevance and RAG Accuracy with Jina Reranker

Boost your search and RAG accuracy with Jina Reranker. Our new model improves the accuracy and relevance by 20% over simple vector search. Try it now for free!

Composite image of four colorful, stylized landmarks: Brandenburg Gate, St. Peter's Basilica, Tiananmen, and Golden Gate Brid

Revolutionizing Bilingual Text Embeddings with Multi-Task Contrastive Learning

Our new paper explores how our Spanish-English and German-English models use multi-task contrastive learning and a sophisticated data pipeline to master language understanding and cross-lingual efficiency for texts up to 8192 tokens

Digital wireframe rendering of a Gothic-style cathedral, with colorful outlines and pointed spires on a dark background.

Aquí Se Habla Español: Top-Quality Spanish-English Embeddings and 8k Context

Jina AI's new bilingual Spanish-English embedding model brings the state-of-the-art in AI to half a billion Spanish speakers.

Elevate Your Code Search with New Jina Code Embeddings

New 𝗷𝗶𝗻𝗮-𝗲𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀-𝘃𝟮-𝗯𝗮𝘀𝗲-𝗰𝗼𝗱𝗲 is optimized for code & docstring search. This powerful model supports searches between English and 30 widely-used programming languages, all with 8192 context length and SOTA performance.

Illustration of Berlin's Brandenburg Gate in neon-style green and blue with classical design elements and a chariot sculpture

Ich bin ein Berliner: German-English Bilingual Embeddings with 8K Token Length

Jina AI introduces a German/English bilingual embedding model, featuring an extensive 8,192-token length, specifically designed to support German businesses thriving in the U.S. market.

Colorful 3D text "OPEN" in green and blue on a black background creating a vibrant effect

8K Token-Length Bilingual Embeddings Break Language Barriers in Chinese and English

The first bilingual Chinese-English embedding model with 8192 token-length.

Black abstract background with "EMBEDDINGS 2" and "lawsmarketplace" text, hinting at a sleek, modern promotional design

Jina AI’s 8K Embedding Models Hit AWS Marketplace for On-Prem Deployment

Jina AI launches 8K token length embedding v2 models on AWS marketplace, elevating enterprise AI deployments with EU-engineered innovation and a commitment to data sovereignty.

Neon "V2" inscription amidst blue and pink abstract waves, creating a dynamic, tech-inspired design

Jina AI Launches World's First Open-Source 8K Text Embedding, Rivaling OpenAI

Jina AI introduces jina-embeddings-v2, the world's first open-source model boasting an 8K context length. Matching the prowess of OpenAI's proprietary models, this innovation is now publicly accessible on Huggingface, signaling a significant milestone in the landscape of text embeddings.