Vector Database

Smokin' fast BBQ with hardware accelerated SIMD instructions
LuceneVector Database

Smokin' fast BBQ with hardware accelerated SIMD instructions

How we optimized vector comparisons in BBQ with hardware accelerated SIMD (Single Instruction Multiple Data) instructions.

Chris Hegarty

All Articles
Using Eland on Elasticsearch Serverless
How ToIntegrationsVector DatabaseGenerative AI

Using Eland on Elasticsearch Serverless

Learn how to use Eland on Elasticsearch Serverless

Quentin Pradet

Adding AI summaries to your site with Elastic
How ToGenerative AIVector Database

Adding AI summaries to your site with Elastic

How to add an AI summary box along with the search results to enrich your search experience.

Gustavo Llermaly

Elasticsearch open Inference API adds support for AlibabaCloud AI Search
IntegrationsVector DatabaseHow To

Elasticsearch open Inference API adds support for AlibabaCloud AI Search

Discover how to use Elasticsearch vector database with AlibabaCloud AI Search, which offers inference, reranking, and embedding capabilities.

Dave Kyle

Weizijun

Understanding BSI IT Grundschutz: A recipe for GenAI powered search on your (private) PDF treasure
Vector DatabaseGenerative AI

Understanding BSI IT Grundschutz: A recipe for GenAI powered search on your (private) PDF treasure

An easy approach to create embeddings for and apply semantic GenAI powered search (RAG) to documents as part of the BSI IT Grundschutz using Elastic's new semantic_text field type and the Playground in Elastic.

Christine Komander

Advanced RAG Techniques Part 2: Querying and Testing
Vector DatabaseGenerative AI

Advanced RAG Techniques Part 2: Querying and Testing

Discussing and implementing techniques which may increase RAG performance. Part 2 of 2, focusing on querying and testing an advanced RAG pipeline.

Han Xiang Choong

Advanced RAG Techniques Part 1: Data Processing
Vector DatabaseGenerative AI

Advanced RAG Techniques Part 1: Data Processing

Discussing and implementing techniques which may increase RAG performance. Part 1 of 2, focusing on the data processing and ingestion component of an advanced RAG pipeline.

Han Xiang Choong

Building multilingual RAG with Elastic and Mistral
IntegrationsHow ToGenerative AIVector Database

Building multilingual RAG with Elastic and Mistral

Building a multilingual RAG application using Elastic and Mixtral 8x22B model

Gustavo Llermaly

Bit vectors in Elasticsearch
Vector Database

Bit vectors in Elasticsearch

Discover what are bit vectors, their practical implications and how to use them in Elasticsearch.

Benjamin Trent

Elasticsearch open inference API adds Amazon Bedrock support
IntegrationsHow ToGenerative AIVector Database

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.

Mark Hoy

Hemant Malik