Implement an Oracle-Backed Semantic Cache for Spring Applications - Oracle BlogsImplement an Oracle-Backed Semantic Cache for Spring Applications Oracle Blogs
Show HN: Rememex – Semantic file search that runs 100% locally (Rust/Tauri)Hey HN, I built Rememex a semantic search layer for your local files. The problem: I kept losing files. Not because they were deleted, but because I couldn't remember the exact filename or keyword. grep needs the exact word. Everything only searches filenames. I wanted to type what I meant and find what I needed. How it works: - Indexes 120+ file types (code, docs, images, configs) - Hybrid search: vector embeddings + full-text + JINA cross-encoder reranking - OCR on images via Windows UWP engine - Reads EXIF GPS → reverse geocodes to city names ("photos from istanbul" works) - EXIF dates → human language ("summer morning" finds a July 8am photo) - Smart chunking per language (Rust at fn/struct, Python at def/class) - Built-in MCP server so AI agents can use it as a tool Everything runs locally. Embeddings use a local ONNX model (Multilingual-E5-Base) by default, though you can optionally plug in OpenAI/Gemini/Cohere. Named after Vannevar Bush's Memex (1945) his vision of a device that
Brain-aligning of semantic vectors improves neural decoding of visual stimuli - NatureBrain-aligning of semantic vectors improves neural decoding of visual stimuli Nature
Security Layer 4.0 – First semantic firewall blocks malicious intent"*Title:* Show HN: BETTI v2.0 – First semantic GPU firewall (93% cost savings, 100% cryptojacking detection)*Body:*I built BETTI, a distributed computing system that applies 14 natural physics laws to resource allocation. New in v2.0: Security Layer 4.0 for GPUs - the world's first semantic GPU firewall.## The ProblemGPU training costs $3/hour (AWS), takes "3-8 weeks" (unpredictable), and cryptojacking steals $5B/year. Current security is reactive - firewalls block AFTER seeing patterns. Resource limits are arbitrary: "You get 4 cores", "10GB RAM max".## The SolutionBETTI applies 14 physics laws:• Kepler's 3rd Law (T² ∝ a³): Task scheduling based on orbital periods • Einstein's E=mc²: Energy cost calculation • Newton's Laws: Resource conservation • Fourier, Maxwell, Schrödinger, TCP, Thermodynamics, etc.This is the first system to apply Kepler's orbital mechanics to computing.## Security Layer 4.0 for GPUs (NEW!)Traditional anti-malware: 60% cryptojacking detection (pattern-based, react
Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search - Amazon Web Services (AWS)Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search Amazon Web Services (AWS)

Why Agentic AI in Life Sciences Needs a Semantic Foundation - Tata Consultancy ServicesWhy Agentic AI in Life Sciences Needs a Semantic Foundation Tata Consultancy Services

Semantic Layer Price Today | Live 42 Price, Chart & Market Data - BinanceSemantic Layer Price Today | Live 42 Price, Chart & Market Data Binance

Show HN: Minna – On-device semantic search across your own documents (macOS)Hi HN! Minna is a new tool geared towards people who have a knowledge base so big they forget where things are.- Chat answers are constrained to retrieved results. The model has to search your knowledge base first and cite the document it pulled from. It won't answer from outside your knowledge base which means you can trust the LLM instead of having to be weary about what it outputs. - Hybrid retrieval — BM25 over an inverted index for exact and keyword matches, plus a vector index for semantic matches, results are fused using Reciprocal Ranked Fusion. - Embeddings and inference both run on-device. Search uses bge-small-en and run on the neural engine. Chat uses Qwen3 4B running on MLX. - Search latency is ~12 ms across 250 documents split into 30,000 chunks on Apple Silicon.What’s not done; OCR scanning on PDFs is limited, the app is currently Apple Silicon only, and there are some rough edges in the UI.It’s a TestFlight beta (apologies, but it is the cleanest distribution path right

Guided Star Schema Generation: Bringing AI-Assisted Design to Semantic Model Customization - Oracle BlogsGuided Star Schema Generation: Bringing AI-Assisted Design to Semantic Model Customization Oracle Blogs

Intersignal Demonstrates Cross-Model Semantic State Transfer Between Local AI Systems - Yahoo FinanceIntersignal Demonstrates Cross-Model Semantic State Transfer Between Local AI Systems Yahoo Finance

Semantic Arts Marks 26 Years Helping Enterprises Modernize Data and Knowledge Systems - citybizSemantic Arts Marks 26 Years Helping Enterprises Modernize Data and Knowledge Systems citybiz

Transforming life sciences research with semantic knowledge technologyLife sciences organisations generate data at extraordinary speed, but insight remains slow. Semantic knowledge graphs and ontologies address this by providing context and structur ...

Accelerating Semantic Views with Materializations - SnowflakeAccelerating Semantic Views with Materializations Snowflake

Why a semantic layer is pivotal to your AI strategy - MIT SloanWhy a semantic layer is pivotal to your AI strategy MIT Sloan

Introducing Semantic Search at The Met - The Metropolitan Museum of ArtIntroducing Semantic Search at The Met The Metropolitan Museum of Art

Constant-cost semantic memory for multi-agent systems - Neo4jConstant-cost semantic memory for multi-agent systems Neo4j

Show HN: Semglot – Sqlglot for Semantic LayersHey HN, I’m André, one of the people that is building benchouse.ai, a public leaderboard for analytics agents.To score every agent fairly, we need to give them equivalent semantic context. Every agent has their own format ranging from dbt docs to Snowflake semantic views or custom yaml formats. I was porting them over manually, but every change in the reference context meant updating multiple docs. Quite annoying.So we wrote semglot, it reads one semantic model and emits another one. Similar to sqlglot but for semantic layers. Today it reads dbt and writes to 6 different targets. Many more to come as we add more agents to benchouse.aiMIT licensed.

Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick - Amazon Web Services (AWS)Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick Amazon Web Services (AWS)

Compromised GitHub action codfish/semantic-release-action steals CI/CD secrets - Aikido SecurityCompromised GitHub action codfish/semantic-release-action steals CI/CD secrets Aikido Security

The Semantic Units Framework, a technology-agnostic representational approach to FAIR and CLEAR knowledge infrastructures - NatureThe Semantic Units Framework, a technology-agnostic representational approach to FAIR and CLEAR knowledge infrastructures Nature

