Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
CoinTelegraph

Web3 has a metadata problem, and it’s not going away

Web3 rolled in on the wave of decentralization. Decentralized applications (DApps) grew by 74% in 2024 and individual wallets by 485%, with total value locked (TVL) in decentralized finance (DeFi) ...
InfoWorld

Next-gen data engines transform metadata performance

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...
JD Supra

Document Content vs. Metadata in eDiscovery AI: A Clarification of Scope, Access, and Accuracy

This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content 2 is the text and ...
InfoWorld

Optimizing metadata performance for web-scale applications

Data engines such as RocksDB are playing an increasingly important role in preventing metadata-access bottlenecks that may impact the performance of large-scale systems. Here’s what you need to know.