Yahoo Finance

Zilliz Open Sources Industry-First Bilingual "Semantic Highlighting" Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 30, 2026 /PRNewswire/ -- Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic ...
Geeky Gadgets

Supercharge RAG Projects with DeepSeek R1 AI Reasoning Model

Have you ever found yourself frustrated by incomplete or irrelevant answers when searching for information? It’s a common struggle, especially when dealing with vast amounts of data. Whether you’re ...
Geeky Gadgets

Unlock Next-Level RAG Performance with the Jina v4 Embedding Model

What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
VentureBeat

New DeepMind study reveals a hidden bottleneck in vector search that breaks advanced RAG systems

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...
Utusan Malaysia

Zilliz Open Sources Industry-First Bilingual “Semantic Highlighting” Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 31, 2026 /PRNewswire/ — Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic ...