Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Using NVIDIA NIM with Elasticsearch vector store
Explore how NVIDIA NIM enhances applications with NLP capabilities and learn how to integrate NVIDIA NIM with Elasticsearch.
How to choose the best k and num_candidates for kNN search
Learn strategies for selecting the optimal values for `k` and `num_candidates` parameters in kNN search, illustrated with practical examples.
Using Elasticsearch as a vector database for Azure OpenAI On Your Data
Learn how to set up and ingest data into Elasticsearch for use as a vector database with Azure OpenAI On Your Data, allowing you to chat with your private data.
Elasticsearch open inference API adds support for Azure OpenAI embeddings
Elasticsearch open inference API adds support for Azure OpenAI embeddings to be stored in the world's most downloaded vector database.
Elasticsearch open inference API adds support for Azure OpenAI chat completions
Azure OpenAI chat completions is available via the Elasticsearch inference API. Learn how to use this feature to answer questions.
Elasticsearch open inference API adds Azure AI Studio support
Elasticsearch open inference API now supports Azure AI Studio. Learn how to use Azure AI Studio capabilities with Elasticsearch in this blog.
Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures
Benchmarking in preview provides Elasticsearch up to 37% better performance on Azure Cobalt 100 Arm-based VMs.
Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure
Elasticsearch added a new vector search optimized profile to Elastic Cloud on Microsoft Azure. Get started and learn how to use it here.
How to choose between exact and approximate kNN search in Elasticsearch
Learn more about exact and approximate kNN search in Elasticsearch, and when to use each one.
Building Elastic Cloud Serverless
Explore the architecture of Elastic Cloud Serverless and key design and scalability decisions we made along the way of building it.
Search relevance tuning: Balancing keyword and semantic search
This blog offers practical strategies for tuning search relevance that can be complementary to semantic search.
