Releases Jina 3.25.1 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.25.0 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.24.1 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Tech Blog How to Build Article Recommendations with Jina Reranker API Only You can build an article recommendation system with just the Jina Reranker API—no pipeline, no embeddings, no vector search, only reranking. Find out how in 20 lines of code.
Knowledge Base Building RAG with Jina AI and SuperDuperDB Jina Embeddings v2 are now integrated directly into SuperDuperDB, letting you skip the complexity of AI operations in your data-driven applications.
Releases Jina 3.24.0 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.23.5 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.23.4 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.23.3 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases DocArray 0.40.0 Update DocArray is a library for representing, sending and storing multi-modal data, perfect for Machine Learning applications.
Releases Jina 3.23.2 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.23.1 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.23.0 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.22.4 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.22.3 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases DocArray 0.39.1 Update DocArray is a library for representing, sending and storing multi-modal data, perfect for Machine Learning applications.
Releases Jina 3.22.2 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.22.1 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases Jina 3.22.0 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Releases DocArray 0.39 Update DocArray is a library for representing, sending and storing multi-modal data, perfect for Machine Learning applications.
Releases Jina 3.21.1 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Knowledge Base Featured SceneXplain vs. GPT-4 Vision: The Best Image Captioning Tool in 2023? Discover the future of visual comprehension with SceneXplain, the leading image captioning tool of 2023. Dive deep into its transformative features, real-world applications, and see how it stands tall against GPT-4 Vision.
Releases Jina 3.21.0 Update Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud.
Tech Blog Featured SceneXplain's Image-to-JSON: Extract Structured Data from Images with Precision Pushing the boundaries of visual AI, we're thrilled to unveil SceneXplain's Image-to-JSON feature. Dive into a world where images aren't just seen, but deeply understood, translating visuals into structured data with unparalleled precision.
Tech Blog PromptPerfect's LLM-as-a-Database is Blurring the Boundaries of Search vs. Generation Diving into PromptPerfect's LLM-as-a-database: a middle ground between few-shot prompts and RAG. Its nuanced approach outshines GPT-4 in complex queries. Evolution in action.