Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
The sparse vector query: Searching sparse vectors with inference or precomputed query vectors
Learn about the Elasticsearch sparse vector query, how it works, and how to effectively use it.
GenAI for Customer Support — Part 2: Building a Knowledge Library
This series gives you an inside look at how we're using generative AI in customer support. Join us as we share our journey in real-time!
Build AI conversational search for your customer success application with Elasticsearch and OpenAI
Learn how to build an AI conversational search for customer success applications using Elasticsearch and OpenAI.
Bit vectors in Elasticsearch
Discover what are bit vectors, their practical implications and how to use them in Elasticsearch.
Evaluating search relevance part 1 - The BEIR benchmark
Learn to evaluate your search system in the context of better understanding the BEIR benchmark, with tips & techniques to improve your search evaluation processes.
Introducing Learning To Rank (LTR) in Elasticsearch
Discover how Learning To Rank (LTR) can help you to improve your search ranking and how to implement it in Elasticsearch.
Build a RAG application with Elasticsearch's semantic_text and Amazon Bedrock
Learn how to build a RAG application using Elasticsearch's semantic_text mapping type and Amazon Bedrock without leaving Elastic.
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch open inference API added Amazon Bedrock support. Here's how to use Amazon Bedrock models via Elasticsearch's open inference API.
Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes
Explore Elastic's Playground and learn how to use it to experiment with RAG applications using Bedrock Anthropic Models & Elasticsearch.
Search complex documents using Unstructured.io and Elasticsearch vector database
Learn how to ingest and search complex proprietary documents with Unstructured.io and Elasticsearch for RAG applications.
Combining sparse, dense and geo fields in Elasticsearch
Explore Elasticsearch data fields, such as sparse, dense & geo fields, and how to combine them to produce in-depth analytics on your data.
