GenAI is not magicI attended ElasticON recently where we spent the day with our NYC Elastic community, talking about the combined value of vector databases using retrieval augmented generation (RAG) to feed large language models (LLMs) for next-level generative AI (GenAI) results. Elastic’s CTO and Founder Shay Banon kicked off his keynote with an important message: GenAI is … [Read more...] about GenAI and RAG: Transforming security, fraud detection, and observability
RAG
Beyond RAG Basics: Advanced strategies for AI applications
Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, … [Read more...] about Beyond RAG Basics: Advanced strategies for AI applications
Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock
With Elasticsearch and its vector database, you can build configurable search and trusted generative AI (GenAI) experiences that scale from prototype to production fast. Key features include:Built-in support for geospatial data, enabling fast queries of location-based informationVector database capabilities for storing, managing, and querying vector embeddingsIntegration of … [Read more...] about Crafting a hybrid geospatial RAG application with Elastic and Amazon Bedrock