Category: AI

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Generative AI using Elastic and Amazon SageMaker JumpStart

Learn how to build a generative artificial intelligence (GAI) solution with Amazon SageMaker JumpStart, Elastic, and Hugging Face open source LLMs using the sample implementation provided in this post and a data set relevant to your business.

Improving information retrieval in the Elastic Stack: Hybrid retrieval

In this blog we introduce hybrid retrieval and explore two concrete implementations in Elasticsearch. We explore improving Elastic Learned Sparse Encoder’s performance by combining it with BM25 using Reciprocal Rank Fusion and Weighted Sum of Scores.

Quentin Herreros

Improving information retrieval in the Elastic Stack: Steps to improve search relevance

In this first blog post, we will list and explain the differences between the primary building blocks available in the Elastic Stack to do information retrieval.

Grégoire Corbière

Improving information retrieval in the Elastic Stack: Benchmarking passage retrieval

In this blog post, we'll examine benchmark solutions to compare retrieval methods. We use a collection of data sets to benchmark BM25 against two dense models and illustrate the potential gain using fine-tuning strategies with one of those models.

Grégoire Corbière

Relativity uses Elasticsearch and Azure OpenAI to build AI search experiences

With Elasticsearch Relevance Engine, you can create AI-powered search apps. Learn how Relativity uses Elastic & Azure Open AI for this goal.

Hemant Malik

The generative AI societal shift: Elastic's Gen AI & LLMs journey

Learn how Elastic is at the forefront of the generative AI & Large Language Models (LLMs) revolution, helping users take LLMs to new...

Jeff Vestal

Logs: Understanding TLS errors with ESRE and generative AI

Here's how to set up and use the Elasticsearch Relevance Engine (ESRE) with its Elastic Learned Sparse Encoder capability for log analysis and probe TLS issues.

David Hope

Accessing machine learning models in Elastic

Explore the machine learning (ML) models supported in Elastic, the Eland library for loading models and how to apply transformers & NLP in Elastic.

Bernhard Suhm

Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model

Learn about the Elastic Learned Sparse Encoder (ELSER), its retrieval performance, architecture, and training process.

Thomas Veasey

Introducing Elastic Learned Sparse Encoder: Elastic’s AI model for semantic search

Learn about the Elastic Learned Sparse Encoder (ELSER), an AI model for high relevance semantic search across domains.

Aris Papadopoulos

ChatGPT and Elasticsearch: A plugin to use ChatGPT with your Elastic data

Learn how to implement a plugin and enable ChatGPT users to extend ChatGPT with any content indexed in Elasticsearch, using the Elastic documentation.

Baha Azarmi

ChatGPT and Elasticsearch: OpenAI meets private data

Integrate Elasticsearch's search relevance with ChatGPT's question-answering capability to enhance your domain-specific knowledge base.

Jeff Vestal

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