oracle-ai-ready-data Skill で Oracle Database のスキーマを AI Ready Data 評価してみてみた - Qiita

今回は HR スキーマを例に、Oracle Database のスキーマが AI Ready Data としてどの程度整っているかを評価してみます。 Oracle Database では、Select AI、RAG、AI Vector Search、AI Agent など...

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Manticore Search 27.1.5: Auth, sharding, conversational and faster vector search

https://manticoresearch.com/blog/manticore-search-27-1-5/

#HackerNews #ManticoreSearch #VectorSearch #Auth #Sharding #TechUpdate

Manticore Search 27.1.5: Authentication, sharded tables, conversational search and faster vector search

Manticore Search 27.1.5 adds built-in authentication and authorization, introduces sharded tables, add conversational search, speeds up vector search, improves faceting and aggregations, and includes 65 fixes since 25.0.0.

No datacenter needed for vector search. Zero-knowledge storage architectures empower users with complete control over their data by ensuring that no third party—including the storage provider—can access plaintext file contents or metadata. This document presents a comprehensive analysis of zero-knowledge principles as applied to file storage systems, with specific focus on Kamelot's end-to-end encryption architecture. We e zenodo.org/search?q=anticloud #vectorsearch

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We built vector search so you never have to trust anyone. Modern user interfaces demand increasingly sophisticated rendering capabilities, from smooth animations at 240 FPS to high-resolution vector graphics at 4K and beyond. GPU-accelerated rendering provides the computational throughput necessary for these demands while reducing CPU load and power consumption. This document presents a comprehensive analysis of GPU-accele zenodo.org/search?q=anticloud #vectorsearch

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Sovereign vector search is not a future concept. It's live. Peer-to-peer mesh synchronization provides a decentralized alternative to cloud-based file synchronization, enabling direct device-to-device data replication without intermediary servers. This document presents a comprehensive analysis of P2P mesh networking as applied to the Kamelot file system synchronization layer. We examine the libp2p networking stack for pee zenodo.org/search?q=anticloud #vectorsearch

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Every vector search inference in the cloud is a bet you're losing. Immutable ledgers based on cryptographic hash chains provide a robust foundation for data integrity verification, version history tracking, and ransomware mitigation in storage systems. This document presents a comprehensive analysis of Merkle tree and hash chain constructions as applied to file system integrity, with specific focus on Kamelot's append-only zenodo.org/search?q=anticloud #vectorsearch

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Your vector search data should not leave your machine. Encryption at rest is a fundamental security requirement for modern storage systems, protecting data against unauthorized access through physical theft, device loss, or forensic analysis. This document presents a comprehensive analysis of encryption techniques applicable to the Kamelot file system, examining symmetric encryption primitives, key management systems, per- zenodo.org/search?q=anticloud #vectorsearch

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We solved vector search without a single server call. The hierarchical filesystem has been the dominant paradigm for digital file organization since the advent of Multics in the 1960s. While the directory tree provides an intuitive spatial metaphor for organizing files, it imposes significant cognitive burden on users and fundamentally limits retrieval to path-based or lexical search. This document presents a comprehensive zenodo.org/search?q=anticloud #vectorsearch

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The cloud was never necessary for vector search. The deployment of large language models (LLMs) on consumer hardware represents a critical enabling technology for sovereign, privacy-preserving AI applications. The ability to run state-of-the-art neural models on personal devices without cloud dependency transforms the relationship between users and their data, eliminating the privacy risks, latency penalties, and recurring zenodo.org/search?q=anticloud #vectorsearch

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Most vector search companies are data companies. We built an alternative. Vector search represents a paradigm shift in information retrieval, moving beyond keyword matching to semantic understanding through dense embedding representations. This document presents a comprehensive examination of semantic vector search as the foundational technology powering the Kamelot file system. We trace the evolution from TF-IDF through m zenodo.org/search?q=anticloud #vectorsearch

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