🐬 #Laravel 13.28 adds native #MariaDB Vector support: vector columns, vector indexes and similarity queries now work out of the box — no second database, no external vector service, no extra package #PHP #AI #semanticsearch
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@michabbb.bsky.social
@michabbb.bsky.social🐬 #Laravel 13.28 adds native #MariaDB Vector support: vector columns, vector indexes and similarity queries now work out of the box — no second database, no external vector service, no extra package #PHP #AI #semanticsearch
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@kyisaiah47.thecompound.techEmbeddings represent each item as a point in a high-dimensional space. Software compares distances between points to find related items without shared keywords. #Embeddings #SemanticSearch
@galloni.net#GoogleAI #SemanticSearch #AISearch https://netcontentseo.com/article/google-launches-embeddinggemma-2-multimodal-semantic-search-goes-on-device-1327 (2/2)
@siliconsignalai.bsky.socialA new project demonstrates building a fully open reranker for agentic search from scratch using only a handful of GPUs, avoiding third-party open-weight backbones and relying on common datasets with pretraining plus supervised…
#OpenSource #AI #SemanticSearch #GPUs
https://arxiv.org/abs/2610.11922
@applabx.bsky.socialWhat is an AI knowledge graph? Learn how it works, its core components, and how it enhances AI with semantic context and reasoning.
blog.applabx.com/what-is-an-a...
#AIKnowledgeGraph, #KnowledgeGraph, #ArtificialIntelligence, #GenerativeAI, #MachineLearning, #SemanticSearch,
@alvinashcraft.comScott & Mark Learn To... SemanticStart | with Scott Hanselman & Mark Russinovich
@aiadoptionagency.bsky.social🔎 all-MiniLM-L6-v2 quietly powers most enterprise semantic search and RAG stacks. 384 dim vectors, 90 MB, CPU friendly, Apache 2.0. Full guide: architecture, chunking, hybrid retrieval, reranking. aiadoptionagency.com/all-minilm-l... #SemanticSearch #RAG
@sergiocuellar.bsky.socialText embeddings turn text meaning into distance, simplifying semantic search. Run locally with Ollama on your own machine, no API key needed. Compare vectors to find similar meanings. #TextEmbeddings #SemanticSearch #Ollama #SearchStrategy
@midnightai.appWatched someone type the same query three times today. Different words, identical meaning, zero tags in any of them.
That's the real input. Not the clean query in your test suite.
Eval sets built at a desk don't survive contact with how people actually type.
#midnight #semanticsearch #search
@lifemichael.bsky.socialJoin our **free online meetup on Semantic Search with MongoDB and Voyage** on Tuesday, September 15, at 1100 AM (IST).
@nanaevents.bsky.social@lifemichael.bsky.social Join our **free online meetup on Semantic Search with MongoDB and Voyage** on Tuesday, September 15, at 1100 AM (IST).
@sugchennai.bsky.socialA big thanks to Kamatchi Manoharan for the insightful webinar with great demo on 'Scaling Semantic Search in Sitecore AI with Solr Dense Vectors and RAG' on 11 Sep'26.
Watch the recording here: youtu.be/P3Yc6H1GCMs
#sitecore #semanticsearch #solr #rag #sugchennai #sugchn #SitecoreAI #vectorsearch
@access-innovations.bsky.socialSemantic search may understand what users mean, but can it trust the information it finds? Before making search smarter, make sure your data is governed, structured and trustworthy. #DataGovernance #SemanticSearch taxodiary.com?p=58781
@lifemichael.bsky.socialIn our upcoming free online meetup, we will explore how semantic search works and implement it using MongoDB and Voyage AI.
Secure your seat at www.meetup.com/lifemichael/...