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

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

使用docker build -f Dockerfile-ollama-local -t deepwiki:ollama-local .构建镜像并运行，提示如下报错 2025-11-06 08:58:21,461 - WARNING - api.rag - rag.py:286 - Document 156 has empty embedding vector, skipping ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

1 School of Software Engineering, Chengdu University of Information Technology, Chengdu, China 2 Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...

As light rail plays a growing role in sustainable cities, Innovation Director Dr Adam Nevin explains how Trelleborg Polyurethane Products’ Vector system is helping to solve the challenges of vibration ...

embed_sum = einsum('h n d, h n c -> h c d', flatten, embed_onehot) embed_sum = embed_sum.contiguous() self.all_reduce_fn(embed_sum) if callable(ema_update_weight ...