Serverless semantic search with ELSER in Python: Exploring Summer Olympic games history
How To

Serverless semantic search with ELSER in Python: Exploring Summer Olympic games history

This blog shows how to fetch information from an Elasticsearch index, in a natural language expression, using semantic search. We will load previous olympic games data set and then use the ELSER model to perform semantic searches.

Essodjolo Kahanam

All Articles
Protecting Sensitive and PII information in RAG with Elasticsearch and LlamaIndex
IntegrationsHow ToGenerative AI

Protecting Sensitive and PII information in RAG with Elasticsearch and LlamaIndex

How to protect sensitive and PII data in a RAG application with Elasticsearch and LlamaIndex.

Srikanth Manvi

Building advanced visualizations with Kibana and Vega
How To

Building advanced visualizations with Kibana and Vega

Have you struggled to build the Kibana visualizations you need using Lens and TSDB? Learn how to create complex visualizations using Kibana and Vega.

Carly Richmond

Introducing the sparse vector query: Searching sparse vectors with inference or precomputed query vectors
Vector Database

Introducing the sparse vector query: Searching sparse vectors with inference or precomputed query vectors

Introducing the sparse vector query, powering sparse vector search in the future

Kathleen DeRusso

GenAI for Customer Support — Part 2: Building a Knowledge Library
Inside Elastic

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!

Cory Mangini

Build a Conversational Search for your Customer Success Application with Elasticsearch and OpenAI
How ToGenerative AI

Build a Conversational Search for your Customer Success Application with Elasticsearch and OpenAI

Explore how to enhance your customer success application by implementing a conversational search feature using advanced technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

Lionel Palacin

Bit vectors in Elasticsearch
Vector Database

Bit vectors in Elasticsearch

What are bit vectors and how to use them in Elasticsearch

Benjamin Trent

Evaluating search relevance - Part 1
ML Research

Evaluating search relevance - Part 1

How to evaluate your own search systems in the context of better understanding the BEIR benchmark, with specific tips and techniques to improve your search evaluation processes. Part 1 of the series.

Thanos Papaoikonomou

Thomas Veasey

Introducing Learning To Rank in Elasticsearch
How ToSearch Relevance

Introducing Learning To Rank in Elasticsearch

Discover how to Learning To Rank can help you to improve your search ranking and how to implement it in Elasticsearch

Aurélien Foucret

semantic_text with Amazon Bedrock
IntegrationsHow ToGenerative AIVector Database

semantic_text with Amazon Bedrock

Using semantic_text new feature, and AWS Bedrock as inference endpoint service

Gustavo Llermaly