#SemanticSearch
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prosperflowio.bsky.social
Describe the file you lost and DigUp finds it, fully on-device, down to the exact PDF page or video moment. 🔗 github.com/ARahim3/DigUp

Credits: github.com/ARahim3/DigUp

#digup #swift #semanticsearch
October 29, 2026 at 5:30 PM
mohammedtahri.bsky.social
Search by meaning vs keywords on 225 judged questions: WordLlama 0.340, BM25 0.382 nDCG@10 (p 0.0012). Rank fusion 0.395, p 0.18. BM25 + GloVe fell to 0.258. #MT24Learning #SemanticSearch #InformationRetrieval
Search by meaning vs keywords on 225 judged questions: WordLlama 0.340, BM25 0.382 nDCG@10 (p 0.0012). Rank fusion 0.395, p 0.18. BM25 + GloVe fell to 0.258. #MT24Learning #SemanticSearch #InformationRetrieval
October 27, 2026 at 9:49 PM
omnicanvasnotes.bsky.social
#omnicanvasnotes #digitalworkspace #semanticsearch #knowledgebase #productivitytools #smartnotes 2/2
October 23, 2026 at 3:17 PM
omnicanvasnotes.bsky.social
#omnicanvasnotes #digitalworkspace #semanticsearch #knowledgebase #productivitytools #smartnotes 2/2
October 19, 2026 at 3:05 PM
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

🧵👇
October 15, 2026 at 12:26 AM
galloni.net
#GoogleAI #SemanticSearch #AISearch https://netcontentseo.com/article/google-launches-embeddinggemma-2-multimodal-semantic-search-goes-on-device-1327 (2/2)
October 10, 2026 at 12:20 PM
siliconsignalai.bsky.social
A 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
October 9, 2026 at 8:01 PM
applabx.bsky.social
What 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,
October 9, 2026 at 10:11 AM
alvinashcraft.com
Scott & Mark Learn To... SemanticStart | with Scott Hanselman & Mark Russinovich

buff.ly/g4mBQS5

#podcast #learning #windowsdev #semanticsearch #softwaredev
Scott & Mark Learn To... SemanticStart
In this episode, Scott Hanselman and Mark Russinovich dive into Mark’s new SemanticStart project, exploring how semantic search can make finding Windows apps, tools, and settings more intuitive.…
buff.ly
October 7, 2026 at 7:01 PM
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
all-MiniLM-L6-v2: Enterprise Semantic Search and Embedding Deployment Guide - Ai Adoption Agency
TL;DR all-MiniLM-L6-v2 is a compact, fast sentence embedding model that converts text into 384 dimensional vectors, making it a workhorse choice for enterprise semantic search, clustering, and retriev...
aiadoptionagency.com
September 30, 2026 at 4:12 PM
sergiocuellar.bsky.social
Text 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
Generate and Compare Text Embeddings With Ollama, Full Guide
An embedding is a list of numbers where similar meaning gives similar numbers. Run one locally with Ollama, compare two, and semantic search stops being a buzzword and becomes arithmetic you can read.
kodekloud.com
September 27, 2026 at 10:40 AM
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).

www.meetup.com/lifemichael/...
#mongodb #semanticsearch
September 13, 2026 at 8:29 AM
lifemichael.bsky.social
Join our **free online meetup on Semantic Search with MongoDB and Voyage** on Tuesday, September 15, at 1100 AM (IST).

www.meetup.com/lifemichael/...

#mongodb #semanticsearch
Semantic Search in Practice with MongoDB and Voyage AI [Free Meetup], Tue, Sep 15, 2026, 11:00 AM | Meetup
Traditional keyword search retrieves documents containing the exact words entered by the user. Semantic search goes further by understanding the meaning and intent behind a
www.meetup.com
September 13, 2026 at 8:32 AM
sugchennai.bsky.social
A 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
SUG Chennai | Scaling Semantic Search in Sitecore AI with Solr Dense Vectors and RAG | 11 Sep 26
YouTube video by SUG CHENNAI
youtu.be
September 12, 2026 at 9:22 PM
access-innovations.bsky.social
Semantic 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
https://taxodiary.com/?p=58781
taxodiary.com
September 10, 2026 at 8:04 AM
lifemichael.bsky.social
In 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/...

#mongodb #python #semanticsearch #voyage
September 8, 2026 at 5:34 PM
sugchennai.bsky.social
📢SUG Chennai Webinar alert!
Topic: 'Scaling Semantic Search in Sitecore AI with Solr Dense Vectors and RAG'
Time: 11 Sep'26, 5 to 6 PM IST
Speaker: Kamatchi Manoharan

Join us: teams.microsoft.com/meet/4755222...

#sitecore #semanticsearch #solr #rag #sugchennai #sugchn #SitecoreAI #vectorsearch
SUG Chennai September 11, 2026 event.
September 4, 2026 at 4:47 PM
octalchip.bsky.social
Vector Databases help AI search by:

• Meaning
• Context
• Similarity
• Relevance

They power modern RAG systems, AI knowledge bases, semantic search, recommendation engines, and more.

🚀 Building smarter AI with @octalchip.

#VectorDatabase #RAG #AI #LLM #SemanticSearch #OctalChip
RobinReach
September 4, 2026 at 4:17 PM
phpconference.bsky.social
🔎 Search by meaning, not keywords

At #IntPHPcon Munich, part of Agentic Web Week, Valerio Barbera shows you how to:
🧠 create embeddings in PHP
📐 rank results by meaning
⚙️ store & query vectors

📅 October 26 - 30, 2026 | IPC |📍Munich

🔗 https://tinyurl.com/yuzazn8d

#PHP #AI #SemanticSearch
September 1, 2026 at 9:02 AM
fetchfeeds.bsky.social
GPU-driven semantic search: Hybrid dense & sparse RAG on Qdrant backend for documents & source code. #SemanticSearch https://fefd.link/X00Ds
August 30, 2026 at 11:48 AM
csillaszanto.bsky.social
Semantic Search in Java with Micronaut Data JDBC, Oracle AI Vector Search and Database 26ai

Join us at the "The Out of the Box Developer" live discussion next Tuesday!

🗓️ : Tuesday, 1.9.2026, at 6PM BRT | 9PM GMT
👉 : www.youtube.com/watch?v=B8xm...

#Java #SemanticSearch #VectorSearch #AI #OotBD
Semantic Search in Java with Micronaut Data JDBC, Oracle AI Vector Search and Database 26ai
YouTube video by OutOfTheBoxDeveloper
www.youtube.com
August 30, 2026 at 4:15 PM
inevia.co
Make your company knowledge easier to find - and more useful to AI.

Turn scattered information into an intelligent knowledge layer that supports better operations.

#AIAgenticWorkflows #AgenticAI #AIAgents #EnterpriseAI #KnowledgeManagement #EnterpriseSearch #SemanticSearch #SharePoint
Inevia AI agentic workflows infographic showing AI-ready knowledge management with SharePoint and PDF indexing, semantic enterprise search, document summarization, and faster access to operational knowledge for AI agents.
August 26, 2026 at 8:40 AM
kwatier.bsky.social
Want to get cited in AI Overviews? Learn cosine similarity. There's a measurable "semantic closeness" between AI answers and the content they cite — your titles, subheads, and copy need to match the query. 🧠📏 #SemanticSearch
August 18, 2026 at 5:15 PM
ppc.land
Chrome's semantic search revealed through internal embedding architecture #Chrome #SemanticSearch #EmbeddingArchitecture #NaturalLanguageProcessing #WebTechnology
Chrome's semantic search revealed through internal embedding architecture
Chrome's history embeddings system processes web pages into 1540-dimensional vectors using sophisticated document chunking algorithms, enabling natural language browsing history search through locally stored semantic representations.
ppc.land
August 23, 2025 at 7:29 PM