Ever wonder how RAG finds the perfect doc? It turns your query into a vector, scores similarity, and pulls from a knowledge base in a flash. Dive into the mechanics behind query vectors and vector search! #RetrievalAugmentedGeneration #QueryVector #VectorSearch

🔗 aidailypost.com/news/how-ret...

Channel9 Smarter Queries Start Here: Vector Search in SQL Server & Azure SQL DB: Karen Lopez - Microsoft MVP
https://mvp.microsof

SQL Server 2025 and Azure SQL DB now support vector search and… #SQLServer #AzureSQL #VectorSearch

I'm using our built-in ORDS OAuth2.0 Server (using the Client Credentials grant type), a single Auto-REST enabled table (PARKS), and a lone /vecdb/embed endpoint to make this all work. This demo should help illustrate how Vector search works in real life. #vectorsearch #huggingface #ords #rest #ONNX

ORDS 26.1.0 is out, available for download (rolling out in ADB now): www.oracle.com/database/sql...

In the meantime, take a look at the release notes here: www.oracle.com/tools/ords/o...

#vector #vectorsearch #huggingface #ords #rest #ONNX #apidevelopment #LLMs #LLM

GenAI apps with LangChain4j and MCP, Thu, Apr 9, 2026, 6:30 PM | Meetup \#\# GenAI apps with LangChain4j and MCP * This session, designed for software engineers, will explore how to create GenAI apps with LangChain4j and MCP (Model Context Pro

Orlando JUG: GenAI Apps with LangChain4j and MCP - 04/09/2026 06:30 p.m. rb.gy/rzd9nr #Java #LangChain4J #MCP #ModelContextProtocol #JavaOracleDB #OracleAIDatabase26ai #VectorSearch #VectorDatabase #OracleDatabase #Oracle #OracleDevs #OracleCloud #LangChain4j

Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings How to give your AI agent long-term recall without sending a single byte to the cloud — using mxbai-embed-large, sqlite-vec, and cognitive memory architecture.

Making a Local AI Agent Smarter: Semantic Memory with Local Embeddings By Xaden The Problem With Flat Files Most local AI agents store memory the same way: dump everything into a markdown file. The...

#ai #embeddings #vectorsearch #machinelearning

Origin | Interest | Match

At #NDC London, #OpenSearchAmbassador Dotan Horovits discussed search methodologies, with special emphasis on semantic search, and what the OpenSearch Project provides, fully open source under The Linux Foundation. https://bit.ly/4uPsMG4

#VectorSearch #AIApps

Why Your RAG System Doesn't Need Embeddings

I benchmarked 7 RAG strategies across 17000 chunks. The search engine matters least. Start with BM25, invest in your agent and ingestion pipeline. #vectorsearch

I am building an auto tag generator for my anonymous question-asking platform, @maskd.site. It finds tags for questions by vector search. I'll be fine-tuning the machine learning model.

#vectorsearch #machinelearning #ml

#gtc #opensearch #nvidia #opensource #opensearchambassador #vectorsearch | Dotan Horovits Stoked seeing the OpenSearch Project featured by Jensen Huang on NVIDIA #GTC keynote! 😍 One of the innovations in #OpenSearch V3 has been adding GPU acceleration based on #NVIDIA's cuVS. Our benchmar...

Stoked seeing @opensearch.org featured by @jensenhuang.bsky.social on #NVIDIA #GTC keynote! 😍

One of the innovations in #OpenSearch V3 has been adding GPU acceleration based on cuVS. Our #vectorSearch benchmarks showed impressive performance boost!
www.linkedin.com/feed/update/...

#GTC2026 #GTC26

Agents are ditching RAG for pure vector search—because memory frameworks already store embeddings. Find out why similarity search is becoming the go‑to retrieval infra for LLM agents. #VectorSearch #AIMemory #AgentSystems

🔗 aidailypost.com/news/agents-...

Building a Vector Search System End-to-End - Part I

Peeling the Onion of Vector Search : From FAISS to from the Scratch Algorithmic Implementation

#vectorsearch

⏰Real-time AI needs real-time data

Guy Shtub shows how modern #database architectures support AI workloads at scale

You'll learn:
🔺 Feature Stores
🔺 #VectorSearch
🔺 Low-latency #AI systems

#webinalewebweek |📍BER | 📅 June 8 – 12, 26

👀About the session: https://tinyurl.com/yc6wn6pz

#webinale

How AI Search Engines Rank Content: Reverse Engineering Ranking Signals Learn how AI search engines rank content by analyzing retrieval signals, semantic ranking, entity authority, and GEO strategies.

Learn how AI search engines rank content by analyzing retrieval signals, semantic ranking, entity authority, and GEO strategies.

blog.applabx.com/how-ai-searc...

#AISearch, #AISearchEngines, #AISearchRanking, #AISEO, #GenerativeEngineOptimization, #GEO, #SemanticSearch, #VectorSearch,

Kinetica is the only vector database built for real-time operational data at GPU speed.

For RAG on live operational data — financial signals, telemetry, sensor feeds — the gap between data arrival and search availability isn't a minor inconvenience.

It's the difference between AI that knows what's happening now vs. what happened hours ago.

#VectorSearch #RealTimeAI

Optimizing Vector Search Author Introduction: I am Mansi Tibude, an electronics and communication engineer. I have worked in...

Optimizing Vector Search Author Introduction : I am Mansi Tibude, an electronics and communication engineer. I have worked in the IT industry for about 3 years as a Systems Engineer in a previous o...

#vectorsearch #elasticsearch #vectorwithelastic

Origin | Interest | Match

The Modern, Unified GenAI Data Stack | TiDB Optimize GenAI apps with the right database. Learn vector search, RAG, and more in this engineer’s guide to GenAI data infrastructure.

When SQL, vector search, and sync pipelines live in separate systems, context becomes stale and ops get painful. A modern unified GenAI data stack simplifies this by bringing transactions + vectors together.

https://ow.ly/fOa750YlLEV

#GenAI #DataStack #VectorSearch

Oracle Vector Search: Distance Metrics There are several ways you can calculate distances to determine how similar, or not, two vectors are. I'll introduce you each metric available in Oracle 26ai. Euclidean and Euclidean Squared Distances Computed using straight-line distance between two vectors. This is calculated using the Pythagorean theorem (SQRT(SUM((xi-yi)2))). Euclidean Squared avoid the square-root calculation, so, it's faster to compute. Cosine Similarity Measures the cosine of the angle between two vectors.

There are several ways you can calculate distances to determine how similar, or not, two vectors are. I'll introduce you each metric available in Oracle 26ai. #oracle #ai #oracleai #oracle26ai #vectorsearch #oracleace

Blue promotional graphic for Azure DocumentDB featuring the title “DocumentDB Vector Search for TypeScript.” The image includes a database icon with curly braces, a magnifying glass over a network graph representing vector search, and a banner reading “Azure DocumentDB Code Sample” on a blue gradient background.

Explore vector search in TypeScript with Azure DocumentDB. This hands-on sample shows how to store embeddings, configure vector indexes, and run similarity queries in a Node.js app.

msft.it/63325QpWp1

#AzureDocumentDB #VectorSearch

SurrealDB 3.0 just merged agent memory, business logic, and multimodal data into a single engine. Think RAG, graph queries, vector search—all powered by Rust. Curious how this reshapes AI pipelines? Dive in. #SurrealDB #VectorSearch #AgentMemory

🔗 aidailypost.com/news/surreal...

🔍 La biblioteca open source USearch potencia la búsqueda vectorial de ScyllaDB

ScyllaDB integra búsqueda vectorial con USearch, acelerando aplicaciones de IA.

thenewstack.io/open-source-usearch-libr...

#VectorSearch #ScyllaDB #OpenSource #RoxsRoss

PostgreSQL on Azure supercharged for AI | Microsoft Azure Blog Find out why PostgreSQL is the most-loved database among developers, and with Azure’s latest innovations, it’s now more intelligent.

PostgreSQL on Azure is being repositioned as AI infrastructure, not just a managed DB.

Vector search, AI-ready performance, and enterprise controls signal a shift:
your database is now part of the AI system design.

azure.microsoft.com/en-us/blog/p...

#Azure #PostgreSQL #AIInfra #VectorSearch

I joined InstaBlinks podcast to talk about vector search, difference from lexical search, and how the #OpenSearch Project facilitates both in a hybrid model.
Thanks NetApp Instacluster for having me!
www.youtube.com/watch?v=buKX...

@opensearch.org #vectorSearch #vectorDB #opensource #search

Getting ready to take the stage at @ndcconferences.com London. See you at room 6!
#NDCLondon #VectorDB #VectorSearch #OpenSearch #AI @opensearch.org #OpenSearchAmbassador

Demystifying Vector Databases: OpenSearch for Semantic Search Ready to unlock the true potential of your data? We're diving deep into the world of Vector Search with special guest Dotan Horovitz, Senior Developer Advocate at AWS and OpenSearch Ambassador. We break down complex tech into simple, actionable insights for developers and data enthusiasts alike. Dotan guides us through the essentials of vector versus lexical search, revealing why "hybrid search" might be the winning strategy you're looking for. We also explore the cutting edge of multimodal search (searching across images, video, and text) and how to deploy powerful AI agents directly within OpenSearch. Whether you are building the next big GenAI application or just want to understand the mechanics behind semantic search, this conversation is packed with value. Watch the full episode to future-proof your search strategy! LEARN MORE ABOUT INSTACLUSTR MANAGED OPENSEARCH: https://www.instaclustr.com/platform/managed-opensearch/ LOOKING FOR EMERGENCY SUPPORT: https://www.instaclustr.com/contact-us/ Don't forget to Like and Subscribe to the channel for more expert insights on AI and cloud technology!

#OpenSearchAmbassador Dotan Horovits cuts through the hype, explaining why hybrid search works best and how OpenSearch powers smarter AI and RAG—in the latest InstaBlinks episode, hosted by member company @NetApp Instaclustr.

Watch now 👇
bit.ly/4pSp4YM

#OpenSearch #VectorSearch #AI #RAG

Release 26.1.1 · ArcadeData/arcadedb ArcadeDB 26.1.1 Release Notes We're excited to announce ArcadeDB 26.1.1, a significant release that brings 92 closed issues and introduces major new capabilities to the platform. This release marks...

ArcadeDB v26.1.1 is out! New Native OpenCypher Engine, huge LSM Vector updates (Quantization, PQ and much more), 92 total issues resolved (!)

github.com/ArcadeData/a...

#ArcadeDB #GraphDB #OpenCypher #VectorSearch #Database #OpenSource

Recherche vectorielle : MongoDB entend unifier sa pile technologique | LeMagIT Le spécialiste du NoSQL poursuit ses efforts en matière de recherche vectorielle et d’IA générative. Lors de son événement Local du 15 janvier à San Francisco, MongoDB a présenté plusieurs ajouts en c...

Vous déployez un RAG ? MongoDB lance Voyage 3.5 multimodal et Voyage 4 (32k tokens, 256–2048 dim), vectorisation auto et préfiltres pour réduire les coûts. 🔎⚙️ #vectorsearch https://bit.ly/4qvzIG2

Why does AI understand some questions and miss others?

Searching is easy. Understanding intent is hard.
Here’s Nischith Girish sharing a perspective worth hearing👇

𝗙𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆 → antt.me/tqp5guLA
𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 → antt.me/-PCkoRRa

#AI #VectorSearch

Vector search for modern applications 🤖
OpenSearch continues to improve performance and predictability for AI-powered search.
👉 Read about vector search in OpenSearch: opensearch.org/platform/vec...

#OpenSearch #VectorSearch

Secure and Intelligent: Queryable Encryption and Vector Search in MongoDB EF Core Provider - .NET Blog The MongoDB EF Core provider now supports Queryable Encryption and Vector Search. Learn how to encrypt sensitive data while querying it and build AI-powered semantic search applications directly with EF Core.

Secure and Intelligent: Queryable Encryption and Vector Search in MongoDB EF Core Provider The MongoDB EF Core provider now supports Queryable Encryption and Vector Search. Learn how to encrypt sen...

#.NET #Entity #Framework #efcore #mongodb #rag #vectorsearch

Origin | Interest | Match