Databases for #AI: Should you use a vector #database? 🤔

This article compares #opensource projects competing to handle modern #AI workloads, including #machinelearning and #LLMs. Discover which databases best meet today’s AI challenges: https://lpi.org/636x

(Disclaimer: This post contains an AI-generated image.)

#AndyOram #AI #vectordatabase #machinelearning #LLMs #SQL #opensource #hybridsearch #generativeAI #MariaDB #MongoDB #Milvus #Qdrant #Weaviate #Vespa #ChromaDB #LanceDB

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

🚀 Perplexity just dropped their Search API — the same infra behind their answer engine, now open to devs.

Fast, fresh, AI-first search with sub-doc snippets + an SDK + OSS evals.

Perfect for grounding LLMs, building agents, or just hacking.

Overview → https://dropletdrift.com/perplexity-search-api-an-intro-for-developers/

#AI #WebDev #APIs #Developers #PerplexityAI #SearchAPI #AIagents #LLM #AIDev #DevTools #OpenSource #SDK #Search #HybridSearch #ContextEngineering #Retrieval #RAG #RealtimeAI #AIFirst #Innovation

🔥 @TheNewStack dives into OpenSearch 3.2, spotlighting hybrid search 🧩, boosted observability tools 🔧, and AI-powered features ⚡. Backed by contributors like ByteDance, IBM DataStax, SAP, and Uber, OpenSearch keeps evolving fast.

🔗 Check it out:
https://thenewstack.io/opensearch-3-2-delivers-hybrid-search-enhanced-observability-tools/
📖 Learn more about OpenSearch here: https://opensearch.org/?ajs_aid=d47608d2-1716-4230-91b0-66101998e898

#OpenSearch #OpenSource #AI #HybridSearch #Observability

Taking another look at a great update for building smarter search systems 🔍

Thanks to our collaboration with Hugging Face, you can now encode sentences into sparse vectors using fast, efficient, and state-of-the-art models in OpenSearch. 

🚀 Learn more: https://opensearch.org/blog/neural-sparse-models-are-now-available-in-hugging-face-sentence-transformers/?utm_campaign=16543862-2025Q2-OpenSearch-Newsletters&utm_medium=email&_hsenc=p2ANqtz-9HajkN_kTD9vRMNFHsdn6BXDp7LvH0LFTcrLtV78bU7IATFMAjQrTES6UHVb58MvsiB_v__Q4-eaCKN_WroaLGJGGJl24mPWGFzdyhqeBfKFVYqMs&_hsmi=371674865&utm_content=371674865&utm_source=hs_email

#OpenSearch #HuggingFace #SparseModels #HybridSearch #AI #NLP #SearchEngineering #OpenSource

🎤 @horovits 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": https://www.youtube.com/watch?v=FC58Hxb1IKk
#VectorSearch #OpenSearch #AI #MachineLearning #HybridSearch

OpenSearch is advancing search with hybrid analytics 🔍 blending lexical and semantic search for smarter, faster results ⚡. Version 3.2 adds vector database support 🧠, improved observability 📊, and cross-cluster trace search 🌐.

Learn more in Forbes 👉 https://www.forbes.com/sites/adrianbridgwater/2025/08/25/opensearch-looks-to-deeper-hybrid-analytics/

#OpenSearch #HybridSearch #OpenSource #Analytics #Observability

"Advanced Search Algorithms for LLMs"

Great article with nice bibliography from Rohan's Bytes column.

https://www.rohan-paul.com/p/advanced-search-algorithms-for-llms

#LLM #RAG #vectorSearch #hybridSearch #documentChunking #denseSemanticRetrieval