I spent some time trying to make search behavior visible in one small Quarkus app.

Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.

This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.

https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java

#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch

#AIEngineering #cv #vectorsearch #iot #edgecomputing

https://pub.towardsai.net/vector-search-on-the-edge-sensor-retrieval-with-qdrant-edge-on-ubuntu-c0518de7a536

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://www.youtube.com/watch?v=N2kn4UybFBI&list=PLPFMHjhoDntvdVnYpMIRhi4CRgBwyIAET&index=1

#VectorSearch #AIApps

Where is OpenSearch headed in 2026? Our technical roadmap is live, focused on building the industry’s most robust AI-native search and analytics platform.

Search modernization
Observability and analytics
Scalability and resiliency
Community and platform

https://opensearch.org/blog/the-2026-opensearch-roadmap-four-pillars-for-ai-native-innovation/
#OpenSearch #AI #VectorSearch #Observability

A full day building a production-grade RAG system.🚀

This #ArcofAI workshop with Wesley Reisz covers ingestion, transcription,
embeddings, vector search, orchestration with Step Functions, and MCP
integration.

https://www.arcofai.com/speaker/7d1e0ac0820b49f0ac378365a185de1c

🎟️ Get tickets: https://arcofai.com

#AI #RAG #VectorSearch #Embeddings #GenAI #AgenticAI #AustinTech #Austin #Developer #AIEngineering

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 #VectorSearch benchmarks, using CAGRA algorithm integrated through Facebook's Faiss library, showed:
✅ 9.3x faster index builds
✅ 3.75x lower cost
✅ 2x higher throughput
✅ 2.5x lower CPU usage

https://www.linkedin.com/feed/update/urn:li:activity:7439600547852189697/

#OpenSearchAmbassador #opensource #gtc2026 #gtc26 #cuvs #vectordb

Agents are now favoring vector search over classic RAG, as memory frameworks shift to vector storage for rapid similarity lookup. Learn how this changes retrieval infrastructure for LLM‑powered agents and what it means for future AI memory design. #VectorSearch #RAG #AIMemory #AgentSystems

🔗 https://aidailypost.com/news/agents-favor-vector-search-over-rag-noting-memory-frameworks-use

Avi Chawla (@_avichawla)

AWS에서 RAG 앱 구축 방법을 설명하는 게시물로, RAG(검색 보강 생성)는 지식 준비(ingestion)과 질의(querying)의 두 단계로 작동하며, 각 단계를 AWS의 기존 서비스로 구현하는 구체적 흐름을 시각적으로 제시한다.

https://x.com/_avichawla/status/2031994916667363580

#aws #rag #retrievalaugmentedgeneration #nlp #vectorsearch

Why choose between keyword search and semantic understanding? With Hybrid Search in #OpenSearch, you get the best of both worlds. 🧠

Improve your user experience by making your search ""smarter"" without sacrificing performance. 🔗 https://opensearch.org/platform/vector-engine

#Hybridsearch #Vectorsearch #searchinnovation

【OCI】10分でかんたん構築！すぐ試せるマルチモーダルAI資料検索アプリを動かしてみよう
https://qiita.com/yushibats/items/70bcc09733ae1c674e8c?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AI #oci #rag #生成AI #VectorSearch