#vectorsearch résultats de recherche
Businesses create 2.5 quintillion bytes of data daily — but only few uncover Hidden Customer Insights that truly matter. Discover how vector search is transforming data into smarter decisions & personalized experiences. tycoonstory.com/how-vector-sea… #vectorsearch #BusinessGrowth
Celebrating Vector Search with JavaScript: Build Intelligent Search Systems with AI by Ben Greenberg, now in print! 🔗 Read more: medium.com/pragmatic-prog… 📘 ebook: pragprog.com/titles/bgvecto… 📘 print: tinyurl.com/javascriptvect… #javascript #vectorsearch #ai #pragprog
🚀 Testing out Vector Search in SQL Server 2025 inside a .NET Aspire app was easier (and cooler) than expected! 🧠 AI + 🗃 SQL + ⚙️ .NET = ❤️ Check out the full demo using eShopLite! 🔗 aka.ms/eshoplite/repo #dotnet #sqlserver #vectorsearch #aspire #AI
Join Santhosh Kumar (@santhosbvsrk), on October 28 to see #VectorSearch in action with APEX at the AI Virtual Seminar by Oracle and @aicampai! ✓ AI Vector Search in APEX ✓ Semantic Search & Vector Embeddings ✓ How to Use AI Vector Search in APEX ✓ Real-world Examples…
Spoke about 'Embeddings and Cosine Similarity'! Thanks to Toronto @MongoDB User Group for the opportunity and the community for showing up. A special thanks to @TribalScale for supporting and encouraging me! Always a pleasure to learn and share💚 #MongoDB #VectorSearch
Built for devs who care about performance & simplicity. Get started with OpenSearch Vector DB in minutes: hubs.la/Q03nrFfz0 #DevTools #VectorSearch
⚡️ GenAI is entering its context-driven era—and Pliops is leading the way. We are making RAG, Vector Search, and KV Cache Offload not just possible, but practical at scale. Find out mor 👉 tinyurl.com/3u3ww25n #GenAI #RAG #VectorSearch #KVCache #LightningAI #AIInfrastructure
🔍 Learn how to generate embeddings, perform #vectorsearch, and inject the perfect context into your #LLM query, all using #InterSystemsIRIS 👇 community.intersystems.com/post/llm-model… Turn questions into precise answers with real #RAG implementation steps!
🚀 Boosting e-commerce recommendations with Qdrant! By combining sparse + dense vectors, teams achieved up to 3× faster search and 40% higher engagement, powering smarter, more personalized results. Read more 👇 🔗 pub.towardsai.net/how-to-use-spa… #Qdrant #AI #VectorSearch #Ecommerce…
DatabricksのVector SearchのRerankerがパブリックプレビューになりました。RAGの精度改善にご活用ください！ DatabricksのVector Search Indexにおけるリランカーのサポート #VectorSearch - Qiita qiita.com/taka_yayoi/ite…
With seekdb, Vector Search is just SQL. 1⃣Create a table, 2⃣Add a VECTOR index, 3⃣Query with SELECT. Choose Exact Search for precision or Approximate Search for massive scale. See the tutorial 👇 oceanbase.ai/docs/experienc… #OceanBase #AI #VectorSearch #SQL
🗞️ The October Qdrant Newsletter is live! 🚀 Highlights: - Launch of Qdrant Academy & “Essentials” course - New tools, tutorials & integrations - Community projects & ecosystem growth 👉 Read: try.qdrant.tech/october-newsle… 📩 Subscribe: qdrant.tech/subscribe #Qdrant #VectorSearch…
Vectorize now integrates with Turbopuffer! 🎉 Build structured pipelines and agentic systems on top of Turbopuffer’s ultra-fast vector store — and keep control over what gets embedded, how it’s chunked, and how it evolves. #vectorsearch #aiagents #agents #dataplatform…
Search data. Vector data. Both need protection. Watch the full video to learn "How to Secure AI Data Stored in an OpenSearch Vector Database": hubs.la/Q03CqX940 #VectorSearch #OpenSearch #AI #MachineLearning #HybridSearch
Semantic Search 🔎 ✔️ What is it? ✔️ What is its role in #AI? ✔️ What are the key terms to know? ✔️ How does it compare to #vectorsearch? ✔️ What are the benefits and use cases? We've got you covered with everything you need to know about semantic search in our complete guide…
🚀 Launch Week, Day 4: Smarter Retrieval - Hybrid Retrieval → semantic + keyword precision - Advanced Filtering & Metadata → “Q3 finance docs, NOT drafts” - Real-Time Pipelines → always-fresh data, no waiting #LaunchWeek #VectorSearch #AIAgents
What do #MariaDB, LLMs, and #VectorSearch have in common? We’re glad you asked! #Developers, you’ll need all three to build powerful #GenAI applications. 📲 Join us on March 26. ⬇️ bit.ly/3R4tCMx
Stop collecting vectors like Pokemon. You don’t need more - you need better. Curated chunks beat giant indexes. #AgenticAI #VectorSearch #VectorDB #DataEngineering
Build semantic search with Python using Azure DocumentDB vector search. Store embeddings, index vectors, and run similarity queries — fast and at scale. Quickstart → msft.it/6014tjRiQ #AzureCosmosDB #DocumentDB #VectorSearch #Python
⚡ Real talk about embeddings You don't need a 3072-dim model for everything! 768 dims: High-volume, cost-sensitive ✅ 1536 dims: General purpose ✅ 3072 dims: When accuracy is CRITICAL ✅ Choose based on your use case, not "bigger = better" #MachineLearning #VectorSearch
RAG is everywhere - but it fails when fundamentals like retrieval, chunking, embeddings, grounding, and re-ranking aren’t done right. Looking at this breakdown, which part slows you down the most? #RAG #GraphRAG #VectorSearch #LLMSystems #EnterpriseAI
🔍 Vector Search (What I learned today) Normal search matches keywords, but vector search matches meaning. Text is converted into embeddings (number vectors), and we find the closest vectors using similarity — which gives more accurate & contextual search results. #VectorSearch…
🤖 MongoDB Atlas + IA El análisis de @Dataprix: 🔹 Vector Search nativo para embeddings 🔹 Arquitectura RAG integrada 🔹 Búsqueda semántica 🔹 Convergencia datos oper. + vectoriales Ideal para LLM + datos empresariales 📖 dataprix.com/es/software-it… #AI #RAG #VectorSearch #GenAI
Unlocking the Power of Vector Databases: A Beginner's Journey 1/7: Ever wondered how search engines find the perfect results on your Google query? Today we unveil the magic behind vectors! 🪄 #vectorsearch #AI
Build AI-ready apps with vector search in C#, Python & Node.js—powered by IVF, HNSW & Microsoft’s DiskANN. msft.it/6011tbzaH #DocumentDB #AzureCosmosDB #VectorSearch #AI #OpenSource #CSharp #Python #NodeJS #DiskANN #HNSW #IVF I #Ignite2025 #msftadvocate
Build AI-ready apps with vector search in C#, Python & Node.js—powered by IVF, HNSW & Microsoft’s DiskANN. msft.it/6012twwPn #DocumentDB #AzureCosmosDB #VectorSearch #AI #OpenSource #CSharp #Python #NodeJS #DiskANN #HNSW #IVF I #Ignite2025 #msftadvocate
Implementing RAG from scratch with Python, Qdrant, and Docling techlife.blog/posts/implemen… #RAG #VectorSearch #Qdrant #Embeddings #SemanticSearch #LLM #Python
Build AI-ready apps with vector search in C#, Python & Node.js—powered by IVF, HNSW & Microsoft’s DiskANN. msft.it/6012tZI06 #DocumentDB #AzureCosmosDB #VectorSearch #AI #OpenSource #CSharp #Python #NodeJS #DiskANN #HNSW #IVF I #Ignite2025 #msftadvocate
Sparse + Dense = Hybrid. The future of search is combining exact keyword matching with deep semantic understanding. Essential tech for production-grade retrieval! #VectorSearch #DataScience #TechTweet #MLOps
Build AI-ready apps with vector search in C#, Python & Node.js—powered by IVF, HNSW & Microsoft’s DiskANN. msft.it/6011tZeLB #DocumentDB #AzureCosmosDB #VectorSearch #AI #OpenSource #CSharp #Python #NodeJS #DiskANN #HNSW #IVF I #Ignite2025 #msftadvocate
Can Vibe Coding accelerate building vector search features? Let's explore! #VectorSearch #MachineLearning #DeveloperToolshttps://zilliz.com/ai-faq/can-vibe-coding-help-me-build-vectorsearch-features-faster
CPO Ken Exner at #MSBuild: - Elastic evolves naturally with #vectorsearch addition - Highlights long-standing security features like RBAC & ABAC - Emphasis on existing relevance metrics ready for #genAI apps - Elastic seamlessly integrates with @Azure — JC (@CastillaCodes)
Businesses create 2.5 quintillion bytes of data daily — but only few uncover Hidden Customer Insights that truly matter. Discover how vector search is transforming data into smarter decisions & personalized experiences. tycoonstory.com/how-vector-sea… #vectorsearch #BusinessGrowth
Now that @pgvector 0.6.0 is released, we've added a part 2 to our popular post comparing @pgvector and @lanterndb focused on parallel indexing. Read along at tembo.io/blog/postgres-… #Postgres #VectorSearch
Spoke about 'Embeddings and Cosine Similarity'! Thanks to Toronto @MongoDB User Group for the opportunity and the community for showing up. A special thanks to @TribalScale for supporting and encouraging me! Always a pleasure to learn and share💚 #MongoDB #VectorSearch
Chia Jeng Yang, #WhyHowAI explores the differences in response between #graph and #VectorSearch using a financial report #RAG example. We don't want to spoil anything, but we can tell that combining graph and vector search is the future of RAG. bit.ly/3zaEgvq
Join Fanghua (Joshua) Wu, who takes us on a journey through various fine-grained access control scenarios in the world of #vectorsearch. 😎 Find real-world example leveraging #Neo4j AuraDB Enterprise. bit.ly/3sKu2Pe
🚀 Qdrant 1.11 is all about making a statement. This version brings a host of new features and optimizations to take your #vectorsearch to the next level!
Vectorize now integrates with Turbopuffer! 🎉 Build structured pipelines and agentic systems on top of Turbopuffer’s ultra-fast vector store — and keep control over what gets embedded, how it’s chunked, and how it evolves. #vectorsearch #aiagents #agents #dataplatform…
Hazelcast Platform 5.5 delivers a core architecture that combines distributed compute, in-memory data storage, intelligent integration and #VectorSearch, all of which are key requirements for enterprise #AI and critical applications. ow.ly/wSc250SX2mq
Part 2️⃣ of our Mobile Webcast series is coming up on Nov. 19 & 20! Catch live demos with our expert Mark Gamble on how #Couchbase Mobile’s data sync, #vectorsearch, and edge AI make your apps faster, reliable, secure, and more engaging. 📲 RSVP: bit.ly/3UKmirU
🔔 Reminder: Part 2️⃣ of our Mobile Webcast series is happening this week, Nov. 19 & 20! Catch live demos with our expert Mark Gamble on how #Couchbase Mobile’s data sync, #vectorsearch, and edge AI make your apps faster, reliable, secure, and more engaging. 📲 RSVP:…
🔎 Smarter vector search with GPUs. Join @Qdrant_engine’s Thierry Damiba at #AIBigData2025: 🎤 "Building AI with GPU-Accelerated Vector Search" 🗓️ June 4, 10:30 am | Booth 152 #VectorSearch #GenAI
✨ Explore the Power of Vector Embeddings with Weaviate Join Victoria Slocum from Weaviate for a Mastering Vector Embeddings series from February 6-19 at 9 AM PDT. RSVP now: hubs.la/Q032cT4m0 #VectorEmbeddings #VectorSearch #VectorDatabases #AI #MachineLearning
DatabricksのVector SearchのRerankerがパブリックプレビューになりました。RAGの精度改善にご活用ください！ DatabricksのVector Search Indexにおけるリランカーのサポート #VectorSearch - Qiita qiita.com/taka_yayoi/ite…
Celebrating Vector Search with JavaScript: Build Intelligent Search Systems with AI by Ben Greenberg, now in print! 🔗 Read more: medium.com/pragmatic-prog… 📘 ebook: pragprog.com/titles/bgvecto… 📘 print: tinyurl.com/javascriptvect… #javascript #vectorsearch #ai #pragprog
AI is transforming tech, and data is the fuel that powers it ⛽ In our next webcast, see live demos on how #Couchbase Mobile’s built-in data sync, #vectorsearch, and AI at the edge make your mobile apps faster, more reliable, secure, and engaging 📲 Join us!…
🧠 Vector search meets GPU power. Thanks to Thierry Damiba from @qdrant_engine for an insightful session on building high-performance AI with Vultr GPUs. Missed it? Swing by Booth 152 to learn more. #AIBigData2025 #VectorSearch #GenAI #GPUpoweredAI
Semantic Search 🔎 ✔️ What is it? ✔️ What is its role in #AI? ✔️ What are the key terms to know? ✔️ How does it compare to #vectorsearch? ✔️ What are the benefits and use cases? We've got you covered with everything you need to know about semantic search in our complete guide…
We ❤️ coming back to this blog :) @chiajy2000, #WhyHowAI explores the differences in response between #graph and #VectorSearch using a financial report #RAG example. We don't want to spoil anything, but we can tell that combining graph and vector search is the future of RAG.…
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