In a completely air-gapped environment, the /vector_stores/VS_ID/search endpoint ignores the embedding_model setting in config.yaml when the specified model uses a ...

Abstract: Traditionally, vector data management in geographic information system (GIS) applications often relies on general purposed database systems. However, the strict ACID semantics kept by ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, and querying vectors by up to 90% compared to using a vector database, a ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

MariaDB has recently released MariaDB Community Server 11.8 as generally available, its yearly long-term support (LTS) release for 2025. The new release introduces integrated vector search ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

The input files are converted into PDF by PdfItDown The PDF text is extracted using LlamaIndex-compatible reader The text is chunked exploiting Chonkie's functionalities The chunks are embedded thanks ...

VAST Data, the AI data platform company, is announcing that its latest update to the VAST Data Platform makes it the first and only solution on the market to unify vector search, event-driven ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...