AI-Powered Data Analytics Innovation with Vectors, Graphs and Intent
Details
Ready to scale your RAG, AI workloads, and search? Join us Thursday 5th March 2026 on AWS TLV Floor 28 for a content-packed session in collaboration with AWS about using OpenSearch for AI-Powered Data Analytics and modern search methods: Semantic Search, S3 Vectors and GraphRAG.
Please register here: https://aws-experience.com/emea/tel-aviv/event/0c9fcbcd-8629-4e99-b4b0-fbca41b978c4
* How to go beyond Keyword Search with OpenSearch
* Modernizing Retrieval with Semantic Search and Query Intent Understanding
* Hybrid search and Agentic RAG
* Knowledge Graphs, GraphRAG, and Neuro-Symbolic AI
* Structured intelligence for GenAI
* Amazon S3 Vectors for vector search at billion scale
Agenda:
Beyond Keyword Search - Modernize Retrieval with Semantic Search and Beyond with OpenSearch, Itamar Syn-Hershko, BigData Boutique
Explore how semantic search transforms information retrieval by understanding meaning and context rather than just matching keywords. Learn how OpenSearch's vector engine enables sub-second semantic search across billions of vectors combined with text-search, powering intelligent applications from recommendation engines to conversational search experiences. We'll also discuss sparse vs dense vector embeddings, using LLMs to derive and leverage query intent, and more.
Unlocking Structured Intelligence for Generative AI with Knowledge Graphs, GraphRAG and Neuro-Symbolic AI, Baruch Assif Osoveskiy, AWS
Discover how knowledge graphs enhance Retrieval Augmented Generation (RAG) by providing structured, interconnected information for more accurate and explainable AI responses. Learn how GraphRAG combines the power of graph databases with large language models to deliver contextually rich, grounded answers.
OpenSearch + Amazon S3 Vectors - Cost-Optimized AI-Ready Storage, Roi Gamliel, AWS
Learn how Amazon S3 Vectors introduces native vector support at cloud scale, reducing storage and query costs by up to 90% compared to traditional vector databases. Discover how to store billions of vectors with sub-second query performance while leveraging S3's industry-leading durability and scalability.