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#vectorsearch

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At Open Source Summit North America, @theCUBE host Paul Nashawaty caught up with Mukul Karnik from OpenSearch to discuss key highlights from OpenSearch 3.0 and new features in 3.1. Check out their chat covering all things hybrid search, MCP, vector search, observability use cases and agentic AI.

Watch the full interview: thecube.net/events/linux-found

www.thecube.netCUBE365 Virtual EventsVirtual Events with Real Results

🚀 OpenSearch 3.1 is here with powerful upgrades to boost search, speed up generative AI, and improve observability.

Highlights include:
✅ GPU-accelerated vector search
✅ New Search Relevance Workbench
✅ Smarter agent and model management
✅ Simplified semantic search
✅ Better ML monitoring with OpenTelemetry

Explore what’s new and get started:
🔗 opensearch.org/blog/get-starte

"We’re really pushing the boundaries of search.” — Pallavi Priyadarshini, OpenSearch Project

💡 In a packed keynote at #OpenSearchCon India, leaders from AWS and Freshworks shared how OpenSearch is powering real-world AI use cases—from semantic and hybrid search to federated agents and chat-based assistants.

👉 To learn more, read the blog here: opensearch.org/blog/vector-pow

🎉 Just earned the Oracle AI Vector Search Professional Certification!
Here’s a quick look at what it covers:

✅ Building AI-driven apps with Oracle Database 23ai
✅ Working with vector data, embeddings & similarity search
✅ Using PL/SQL & Python to build RAG applications
✅ Leveraging tools like Exadata AI Storage, GoldenGate & Select AI
✅ Designed for DBAs, AI engineers & cloud developers

#Oracle #VectorSearch #Database23ai #RAG #plsql #python
catalog-education.oracle.com/o

Oracle UniversityOracle AI Vector Search Certified ProfessionalThe Oracle AI Vector Search Professional Certification is designed for Oracle DBAs, AI engineers, and cloud developers to unlock the potential of Oracle Database 23ai to build AI-driven applications. The target candidate for this certification should have basic familiarity in Python and AI/ML concepts. This certification bridges the gap between traditional database management and cutting-edge AI technologies by focusing on leveraging Oracle Database 23ai capabilities for handling vector data and enabling semantic and similarity searches. Through in-depth training, candidates will master techniques like vector data storage, indexing, and generating and storing embeddings, alongside advanced applications such as building Retrieval-Augmented Generation (RAG) applications using PL/SQL and Python. With insights into Exadata AI Storage, Oracle GoldenGate, and Select AI, this certification prepares professionals to integrate and optimize AI in enterprise-level databases seamlessly.