December 13, 2024
How to migrate your Ruby app from OpenSearch to Elasticsearch
A guide to migrate a Ruby codebase from the OpenSearch client to the Elasticsearch client.
December 6, 2024
How to use Elasticsearch Vector Store Connector for Microsoft Semantic Kernel for AI Agent development
Microsoft Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. With the release of Semantic Kernel Elasticsearch Vector Store Connector, developers using Semantic Kernel for building AI agents can now plugin Elasticsearch as a scalable enterprise-grade vector store while continuing to use Semantic Kernel abstractions.
November 26, 2024
RAG made easy with Spring AI + Elasticsearch
Customizing your AI chatbot experience with private data
November 22, 2024
Late chunking in Elasticsearch with Jina Embeddings v2
Using the Jina Embeddings v2 model in Elasticsearch and exploring the pros and cons of long context embeddings models.
November 21, 2024
Elasticsearch open inference API adds support for IBM watsonx.ai Slate embedding models
How to use IBM watsonx™ Slate text embeddings when building Search AI experiences with Elasticsearch vector database.
November 15, 2024
Federated SharePoint searches with Azure OpenAI Service On your data
Using Azure OpenAI Service on your data with Elastic as vector database.
November 5, 2024
How to ingest data from AWS S3 into Elastic Cloud - Part 3: Elastic S3 Connector
Learn about different options to ingest data from AWS S3 into Elastic Cloud. This time we will focus on Elastic S3 Connector.
October 28, 2024
GraphQL meets Elasticsearch: Building scalable, AI-ready apps with Hasura DDN
GraphQL offers an efficient and flexible way to query data. This blog will explain how Hasura DDN works with Elasticsearch to make high performing and metadata-driven access to data.
October 17, 2024
Unlock the Power of Your Data with RAG using Vertex AI and Elasticsearch
Unlock your data's potential with RAG using Vertex AI and Elasticsearch. This blog series covers data ingestion into Elasticsearch for a robust knowledge base for creating advanced RAG based search applications.