Jina AI

Introducing jina-reranker-m0, our new multilingual multimodal reranker for retrieving visual documents, with SOTA performance on multilingual long documents and code searching tasks. https://lnkd.in/eTakmhNP

Standard LLM or reasoning model, which is better for DeepSearch? In this post, we explored using DeepSeek-R1 in the DeepSearch implementation for choosing the next action. https://lnkd.in/eBPp6cmg

Our DeepSearch works with private PDFs and visual documents right out of the box. Discover how DeepSearch can unlock valuable insights from your enterprise data. https://lnkd.in/eJD9iyUa

Nailing these two details transforms your DeepSearch/DeepResearch from mid to GOAT: (1) selecting the best snippets from lengthy webpages and (2) ranking URLs before crawling. Check out our post and find out how to implement them right: https://lnkd.in/eyjKQvrq

We investigate embedding models on new "needle-in-haystack" tasks and find that beyond 4K tokens, they're just rolling dice - even with exact lexical matches or query expansion, they can't tell signal from noise in long context. https://lnkd.in/eZAXnxHa

This is either an extremely smart idea or an extremely stupid one—there's no in-between. https://lnkd.in/eFNRrv8A

QPS out, depth in. DeepSearch is the new norm. Find answers through read-search-reason loops. Learn what it is and how to build it. https://lnkd.in/e3kzHtZJ

Are you an Elasticsearch user? We are! We've learned a lot about search from Elastic, and now we're proud to be an official Elastic partner. Starting with Elasticsearch version 8.18, you can seamlessly integrate our state-of-the-art models such as jina-embeddings-v3 and jina-reranker-v2-base-multilingual in your RAG and search system. And that's not all – any new models we release will be readily available in Elasticsearch, ensuring a smooth user experience. Read on for more details:

Query expansion has come full circle - once essential, became obsolete, now making a comeback. If you've built an agentic search (like DeepSearch/DeepResearch), you immediately notice that query expansion is an extremely important component. The direct query from the user is often suboptimal - not concrete enough, not general enough, not specific enough for agentic tooling such as keyword-based search engines or structured databases to handle effectively. We desperately need query expansion/rewriting to match the right context, to think outside the box, to cover breadth while still digging deep.

Let's see if we can make search right. No ads, no login, no nonsense report. Pure. Deep. Search. 👉 https://search.jina.ai/