The GENAI-ECO project is funded by the European Union under the Slovak Recovery and Resilience Plan.

More about the project:
www.luigisbox.com/genai-eco/.

#AISearch #ecommerce #GenAI #HybridSearch #RecoveryPlan #NextGenerationEU #LuigisBox

Building a Smart, AI-Powered Book Search App — The Easy Way Just spent some time getting hands-on with seekdb, and it’s been a pleasant surprise—here’s a quick...

Building a Smart, AI-Powered Book Search App — The Easy Way Just spent some time getting hands-on with seekdb, and it’s been a pleasant surprise—here’s a quick breakdown of what caught my e...

#hybridsearch #ai #programming #appwritehack

Origin | Interest | Match

Blue promotional graphic titled “Hybrid search in Azure DocumentDB.” The image features a stylized database icon with curly braces, a document and magnifying glass symbol representing search, and a filter icon. The background includes digital patterns and binary code, emphasizing data and search functionality.

Hybrid search in Azure DocumentDB combines vector search and full-text scoring into a unified ranking model using Reciprocal Rank Fusion.

Build search experiences that support semantic and keyword queries together.

msft.it/63320QpUIq

#AzureDocumentDB #HybridSearch

Don't overlook hybrid search approaches! Combining vector similarity with lexical methods (like BM25) often yields better results than embeddings alone. The best strategy depends on your specific problem and data characteristics. #HybridSearch 5/5

For precise RAG results, especially with technical content, hybrid search (dense + sparse like BM25) combined with re-ranking is crucial. This layered approach drastically improves accuracy by refining initial retrievals. #HybridSearch 3/5

FusedANN Introduces Convex Fusion for Hybrid Vector-Attribute Search

FusedANN’s Convex Fusion merges vector embeddings with attribute filters in convex step; benchmarks report faster queries and higher recall than hybrid methods. Read more: getnews.me/fusedann-introduces-conv... #fusedann #convexfusion #hybridsearch

FusedANN Unveils Convex Hybrid Search for Vector and Attribute Queries

FusedANN’s convex framework embeds attribute filters into ANN, delivering up to three‑times higher query throughput while keeping recall comparable to pure vector search. getnews.me/fusedann-unveils-convex-... #fusedann #hybridsearch #convexfusion

HyP-ASO: Hybrid Policy-Based Search Boosts Large-Scale ILP Solving

HyP‑ASO, a hybrid policy‑based search, outperformed existing LNS methods on benchmark ILP sets in tests and scales to problems with thousands of variables. Read more: getnews.me/hyp-aso-hybrid-policy-ba... #ilp #optimization #hybridsearch

🔥 @thenewstack.io: OpenSearch 3.2 brings hybrid search 🧩, better observability 🔧 & AI features ⚡ — with contributions from ByteDance, IBM, DataStax, SAP & Uber.

🔗 Check it out: thenewstack.io/opensearch-3... 📖 Learn more: opensearch.org?ajs_aid=d476...

#OpenSearch #OpenSource #AI #HybridSearch

Lucenia: AI retrieval, done right.
🧠 Context-aware
📂 Docs/logs/spatial at speed
🔐 Full data control
💡 Lower cost
Follow us for playbooks & benchmarks.

#Lucenia #RetrievalEngine #VectorSearch #HybridSearch #ContextRetrieval #EnterpriseAI

🤖 Unlock AI-powered search with #OpenSearch!
Our new blog recaps how to implement vector + hybrid search using the Neural Plugin.

📖 Read the summary → [https://buff.ly/WOEckvG]

#VectorSearch #HybridSearch #AI #Eliatra

🎤 @horovits.bsky.social took the main stage at AI_dev Summit EU 🇳🇱 to show how 🚀 OpenSearch makes 🔍 vector search easy!

#VectorSearch #SemanticSearch #HybridSearch #AIDevSummit

Search data. Vector data. Both need protection.

Watch the full video to learn "How to Secure AI Data Stored in an OpenSearch Vector Database": www.youtube.com/watch?v=FC58...
#VectorSearch #OpenSearch #AI #MachineLearning #HybridSearch

OpenSearch Looks To Deeper Hybrid Analytics OpenSearch open source search and analytics technology is known for its capabilities in website search, but also in real-time application monitoring and log analytics.

OpenSearch 3.2 pushes hybrid search further 🔍 blending lexical + semantic for smarter results ⚡. Now with vector DBs 🧠, better observability 📊, and cross-cluster trace search 🌐.

Read more in Forbes 👉 www.forbes.com/sites/adrian...

#OpenSearch #HybridSearch #OpenSource

Generating embeddings Generating embeddings from arrays of objects

Vector search isn’t just for flat text anymore.

Bring your structured knowledge into intelligent retrieval workflows with OpenSearch’s array embedding support.

Tutorial + code samples inside 👇
docs.opensearch.org/docs/latest/...
#VectorSearch #OpenSearch #AI #MachineLearning #HybridSearch

Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service | Amazon Web Services In this post, we walk you through how to build a hybrid search solution using OpenSearch Service powered by multimodal embeddings from the Amazon Titan Multimodal Embeddings G1 model through Amazon Bedrock....

🚀📝 Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

#Ecommerce #SemanticSearch #HybridSearch #CustomerExperience #AIInnovation

Enhancing Search Capabilities in SQL Server and Azure SQL with Hybrid Search and RRF Re-Ranking - Azure SQL Devs’ Corner Implement Hybrid Search with SQL Server and Azure SQL using RRF with fulltext search the modern vector similarity search

SQL Server has had BM25 for years! Now with vector search, building hybrid search is super easy. And RRF? Just a bit of math—no native function needed. Don’t wait for built-ins. Build it! 💥
👉 devblogs.microsoft.com/azure-sql/en...
#SQLServer #VectorSearch #HybridSearch #AzureSQL

In-Depth Look at Lucenia 0.4.0 Explore Lucenia 0.4.0’s latest enhancements in vector search, geospatial intelligence, and cloud-native architecture.

🚀 New drop! Lucenia 0.4.0 is live with major improvements: ✨ Vector search enhancements
⚙️ Lucene 10.1 upgrade
🌍 Smarter geospatial support
☁️ Cloud-native architecture

Read the release blog: lucenia.io/2025/03/29/l...

#Lucene10 #VectorSearch #HybridSearch #CloudNative #AIsearch