#vectorsearch resultados de búsqueda

🚀 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…

Annoy: simpler tree-based indexing for smaller datasets. HNSW: faster graph-based search & better recall for high-dim data. Choose wisely. #ML #VectorSearch milvus.io/ai-quick-refer…

Optimize IVF index: Adjust nlist and nprobe to boost recall while minimizing query latency. #VectorSearch #IVFIndex milvus.io/ai-quick-refer…

⚡️ 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

🚀 Zilliz Cloud is now in Azure's North Europe! Get ready for lightning-fast vector searches and smoother compliance for EU businesses. Who knew low latency could be this exciting? #Zilliz #Azure #VectorSearch #TechNews windowsforum.com/threads/zilliz…

🔍 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!

🤔 What are vector embeddings? Numbers that capture meaning — dog is closer to retriever than cookies. KID Group & InfoFlow use Elastic’s AI tech to turn data into insight. #AI #Elastic #VectorSearch #KIDGroup #InfoFlow 🎬 youtube.com/watch?v=bGNYyK…

🤔 What are vector embeddings? Numbers that capture meaning — dog is closer to retriever than cookies. KID Group & InfoFlow use Elastic’s AI tech to turn data into insight. #AI #Elastic #VectorSearch #KIDGroup #InfoFlow 🎬 youtube.com/watch?v=bGNYyK…

#js developers 📣! There's still time to sign up for @halfstackconf London on Wed 12th November. There's some great talks on the list, including myself talking about #vectorsearch. Here's my 10% off code if you don't have your 🎫 (😱): ti.to/halfstack/half… See you there! 👋

Automate vector index tuning! Frameworks like Optuna find optimal configurations balancing recall and latency, faster than manual methods. #vectorsearch #machinelearning milvus.io/ai-quick-refer…

🗞️ 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…

Vector Search dilemma continues askdba.net/2025/11/03/sco… #mysql #myvector #vectorsearch #ai #llm

Ever found the perfect product even though you couldn't remember its name? That's #VectorSearch, the technology that lets Google Search, YouTube, and Play understand what you mean. And now, with #VertexAI, you can bring it to your own apps 👉 kartaca.com/en/how-google-… #kartaca

Pragmatic semantic retrieval on BigQuery. Canonical content per row, Vertex AI embeddings, an IVF-cosine index, and SQL filters give relevance with operability. 🔎 #BigQuery #VectorSearch #SemanticSearch nivelepsilon.com/2025/09/27/big…

Search that understands meaning? The future is already here. 🎧 techdaily.ai/ai/ai-search-r… #SemanticAI #VectorSearch #TechDailyAI

💡 Ever wondered how AI understands meaning? Vector databases like Weaviate power the next wave of semantic search — smarter, faster, and context-aware. Read more 👉 lktechacademy.com/2025/10/vector… #AI #Weaviate #VectorSearch #MachineLearning #DataScience

Reranking improves vector retrieval by reranking the initial top results, leading to higher quality results. This is done through 2 stage process. #VectorSearch #Reranking

#AI needs two things: 🧠 What it knows (vectors) 🔗 How it’s connected (graphs) Most tools give you one. #NebulaGraph v5.1 gives you both — in one query.🚀 👉 See the unified future of AI + Graph: na2.hubs.ly/H01LsrT0 #VectorSearch #FusionGraphRAG #LLM #DataFusion

Mature vector databases like AI Search or Pinecone enable hybrid search. Benefits: start with dense index, add sparse later, do sparse-only queries, re-rank at multiple levels, integrate embedding and re-ranking. #VectorSearch #AISearch

Stop relying on full-text indexes for relevance. Dive into semantic search! We show the clear difference between classic text search and #VectorSearch using the #LangChain-MariaDB integration. ⬇️ bit.ly/47LviCT #MariaDB #AI #Database

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

⚡️ 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

More to come! #AI #LLMs #Vectorsearch @pinecone

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…

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

New Foundations for AI Data: Multimodal Lakehouse 🔗 hubs.li/Q03HX_F20 #MultimodalAI #VectorSearch #AIInfrastructure #OpenSourceAI #LLM #DataOps #AppliedAISummit

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…

Look what is trending on GitHub. Qdrant is heading to 15K stargazers! 🤩 Want to receive our swag package with a cool 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐩𝐚𝐜𝐞 𝐓-𝐬𝐡𝐢𝐫𝐭 and stickers? Reshare this post and tell about your experience working with #vectorsearch. 🙌 github.com/qdrant/qdrant

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…

🚀 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…

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

🚀 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!

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

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…

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!…

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

Introducing binary quantization and rescoring in Atlas Vector Search! Developers can now build a wide range of modern AI and semantic search applications at higher scale and lower costs. Check out the blog to learn more: mongodb.social/6016Q5Mnp #VectorSearch

🔔 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:…

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