With full integration of Jina Reranker, you can now bring Jina AI's state-of-the-art technology to SQL retrieval.

See how PromptPerfect Interactive is revolutionizing YouTube content creation with AI-powered storytelling. Elevate your videos and connect with audiences like never before.

See how PromptPerfect can level up your LLM prompting and optimize your email and social media marketing campaigns.

Jina Embeddings v2 are now integrated directly into SuperDuperDB, letting you skip the complexity of AI operations in your data-driven applications.

See how SceneXplain enhanced search quality, and enriched user experience for a top European e-commerce platform.

Graphs → everywhere. Social. Knowledge. Molecular. Critical infrastructure. Complex hairy ball visuals. Hard for machines. Now graph embeddings vectorize nodes. Distill graphs into geometry. Embeddings work magic. AI devours graphs.

Fine-tuning is a way of "tweaking" an AI model, like how a musician can fine-tune an instrument, and in the case of AI models, it can make an enormous difference.

Explore SceneXplain's impact on digital accessibility, providing exceptional image descriptions and ensuring compliance with European standards for public sector organizations.

Using Asset Ovi, a 3D model repository based on Neural Search, you can just upload a 3D model to search for similar ones, or click on an existing model to find other models like it.

DocArray handles multimodal data and works with every vector database using a universal API. Here's how you can do it in Python.

Need help making decisions? Rationale is the impartial tool you need. No more endless reading or expensive consultants. Get the information you need without the bias.

Multimodal deep learning allows for a more holistic understanding of data, as well as increased accuracy and efficiency. But first, what are multimodal deep learning? And what are the applications? This article will answer these two questions.

How would cloud-native actually help you on building multimodal AI in production? What is cloud-native anyway? Is it just a buzzword to get VC's money yet delivers an empty promise?

One of the most promising applications of cross-modal machine learning is neural search. The core idea of neural search is to leverage state-of-the-art deep neural networks to build every component of a search system.

MLOps helps organizations better manage the complexities of ML in production. This article reviews the top-5 most trending open source MLOps tools listed on OSSInsight.io in 2022.