Generative AI
Red Hat extends collaboration with Elasticsearch vector database for Red Hat OpenShift AI
Elasticsearch is now a preferred vector database solution on Red Hat OpenShift AI
Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient
Recent features bring significant performance gains to Elasticsearch and Lucene vector database.
Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud
Elasticsearch adds a new vector search optimized profile for GCP.
Elasticsearch open inference API adds support for OpenAI chat completions
Learn how OpenAI chat completions and Elasticsearch can be used to summarize, translate or perform question & answering on any text.
ChatGPT and Elasticsearch: Creating Custom GPTs with Elastic Data
Learn how to create a custom GPT using the ChatGPT interface. Use Actions to connect to your Elastic data.
RAG (Retrieval Augmented Generation) with LlamaIndex, Elasticsearch and Mistral
Learn to implement a RAG system using LlamaIndex, Elasticsearch and locally running Mistral.
Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model
“Elasticsearch integrates semantic reranking with Cohere’s Rerank models, with the inclusion of Rerank into our open Inference API.”
Building a RAG System With Gemma, Hugging Face & Elasticsearch
Learn to construct an RAG system with Elasticsearch for semantic search and question-answering on private data. Fetch relevant documents as a Context window and leverage the Gemma model for accurate answers.
Introducing Elasticsearch vector database to Azure OpenAI Service On Your Data (preview)
Microsoft and Elastic partner to add Elasticsearch (preview) as an officially supported vector database and retrieval augmentation technology for Azure OpenAI On Your Data, enabling users to build chat experiences with advanced AI models grounded by enterprise data.