The biggest competition of neural search may come from a technology that doesn't even need embeddings as an intermediate representation – an end-to-end technology that directly returns the result you want.
Insights
The initial hype was great: You got hundreds of GitHub stars and fifty upvotes on Reddit. But then growth started to plateau and then drop. Why don't people use your software framework?
Tech Blog
In DocArray, Documents inside a DocumentArray can live in a document store instead of in memory. External store provides longer persistence and faster retrieval. Ever wonder about which one is best for your use case? Here's a comprehensive benchmark to help guide you.
Twenty years ago, “hybrid” was a term used only by botanists and chemists. Today, hybrid is booming… even in search. Many search systems are rolling out hybrid search schemes with the latest AI. But is "hybrid search" really more than a buzzword?
Last week I was in Gyeongju, Korea for the COLING2022 conference. COLING is the premier conference in computational linguistics held every two years. In this article, I will review the multimodal AI-related work in COLING 2022.
Use Jina, Whisper and Stable Diffusion to build a cloud-native application for generating images using your speech.
We are on the cusp of a new era in AI, one in which multimodal AI will be the norm. At Jina AI, our MLOps platform helps businesses and developers win while they're right at the starting line of this paradigm shift, and build the applications of the future today.
Releases
Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud
With ChatGPT replacing Google search, traditional SEO is dead: how can businesses ensure their information appears in ChatGPT's single answer? The solution is in-context learning on LLMs.
Imagine an AI-powered grep command, one that could process a film and find segments matching a text. With Jina AI's CLIP-as-service, you can do that today. We'll show you how.
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc
Events
The holiday season is upon us! As we reflect on this past year, we made a huge difference together with the support from our team, community members, and our partners.
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc.
Fine-tuning is highly effective, economical, and eco-friendly; or at least that's what all the deep learning tweets will tell you. Exactly how much data & time do you need to get a good result?
In Jina 3.12 tracing and monitoring become much easier with built-in OpenTelemetry integration, leading to a quicker response time and faster turnaround time for fixing issues.
The data structure for unstructured data.
Build cross-modal and multi-modal applications in the cloud.
Cloud service to finetune embeddings on domain specific data.
Share and discover building blocks for Neural Search Applications.
Embed images and sentences into fixed-length vectors with CLIP.
No-code solution that lets you create and deploy multimodal neural search in minutes.
A Human-in-the-Loop workflow for creating HD images from text.
Create compelling Disco Diffusion artworks in one line of code.
Cloud service to improve search results on existing systems.
