Tech Blog Bridging Language Gaps in Multilingual Embeddings via Contrastive Learning Multilingual models often face a "language gap," where similar phrases in different languages don't align. We show how contrastive learning can bridge this gap, enhancing cross-language performance.
Tech Blog Migration From Jina Embeddings v2 to v3 We collected some tips to help you migrate from Jina Embeddings v2 to v3.
Tech Blog The What and Why of Text-Image Modality Gap in CLIP Models You can't just use a CLIP model to retrieve text and images and sort the results by score. Why? Because of the modality gap. What is it, and where does it come from?
Insights By Hoovering Up the Web, AI Is Poisoning Itself What does it mean for LLMs when the web has been strip-mined clean, content providers have locked their doors, and there’s barely a trickle of new data to scrape?
Events What We Learned at ICML2024 ft. PLaG, XRM, tinyBenchmark, MagicLens, Prompt Sketching etc. We had a blast at ICML 2024 in Vienna, and we want to share with you everything we said, saw, and learned.
Insights Is Romance Generative AI's Killer App? We Hope Not Are AI boyfriends and girlfriends GenAI's killer app? AI romance is no Jane Austen novel, but "social chatbots" are one of the few generative AI businesses with a clear path to profit. Take an up-close and personal look with us.
Press Featured 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.
Tech Blog AI Explainability Made Easy: How Late Interaction Makes Jina-ColBERT Transparent AI explainability and transparency are hot topics. How can we trust AI if we can't see how it works? Jina-ColBERT shows you how, with the right model architecture, you can easily make your AI spill its secrets.
Press Featured 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.
Tech Blog AIR-Bench: Better Metrics for Better Search Foundation AIR-Bench is a new approach to AI metrics that uses generative AI to make more realistic and flexible benchmarks. With AIR-Bench, you can create your own benchmarks for your own domain, and know that benchmarks data hasn't leaked into model training data.
Tech Blog Binary Embeddings: All the AI, 3.125% of the Fat 32-bits is a lot of precision for something as robust and inexact as an AI model. So we got rid of 31 of them! Binary embeddings are smaller, faster and highly performant.
Insights When AI Makes AI: Synthetic Data, Model Distillation, And Model Collapse AI creating AI! Is it the end of the world? Or just another tool to make models do value-adding work? Let’s find out!
Press 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.
Knowledge Base Improving Search Quality with Reranker API in MyScale With full integration of Jina Reranker, you can now bring Jina AI's state-of-the-art technology to SQL retrieval.
Tech Blog Next-Level Cloud AI: Jina Embeddings and Rerankers on Amazon SageMaker Learn to use Jina Embeddings and Reranking models in a full-stack AI application on AWS, using only components available in Amazon SageMaker and the AWS Marketplace.
Tech Blog Build a RAG system with Jina Embeddings and Qdrant Create a RAG system with Jina Embeddings v2, Qdrant vector database, LlamaIndex, and Mistral LLM.
Tech Blog A Deep Dive into Tokenization Tokenization, in LLMs, means chopping input texts up into smaller parts for processing. So why are embeddings billed by the token?
Tech Blog MyScale & Jina AI: Unleashing Great Potential for Your AI Applications With full integration of Jina Embeddings v2 models, MyScale allows users to harness the capabilities of Jina AI within an SQL database.
Tech Blog Jina Embeddings v2 Bilingual Models Are Now Open-Source On Hugging Face Jina AI's open-source bilingual embedding models for German-English and Chinese-English are now on Hugging Face. We’re going to walk through installation and cross-language retrieval.
Tech Blog Using Jina Embeddings v2 with Haystack Pipelines Access Jina AI's state-of-the-art open-source embedding models in your Haystack application pipeline.
Tech Blog Full-stack RAG with Jina Embeddings v2 and LlamaIndex You can build your own RAG chatbot in a matter of minutes with Jina Embeddings, LlamaIndex and Mixtral Instruct. We'll show you how to get up and running right now.
Tech Blog Dify.AI integrates Jina Embeddings for RAG Dify.AI, a leading open-source platform specialized in creating generative AI applications, is now leveraging Jina Embeddings v2!
Tech Blog Jina Embeddings v2 and MongoDB Atlas Supercharge MongoDB Atlas multi-cloud vector search solutions with Jina AI’s industry-leading embeddings!
Insights Featured Artificial General Intelligence is Cursed, And Science Fiction isn't Helping AI is cursed by intellectual hubris, moving goalposts, bad incentives, and science fiction. Recent talk about Artificial General Intelligence only highlights those curses.
Tech Blog Embeddings in Depth This second article in our series on embedding technology is much more concrete. It explains where embeddings come from and how they are used.
