Integrations

All Articles
Use Amazon Bedrock with Elasticsearch and Langchain
Integrations

Use Amazon Bedrock with Elasticsearch and Langchain

Learn to split fictional workplace documents into passages, transform these passages into embeddings in Elasticsearch and integrate Amazon Bedrock LLM.

Yan Savitski

Generative AI using Elastic and Amazon SageMaker JumpStart
Generative AIIntegrations

Generative AI using Elastic and Amazon SageMaker JumpStart

Learn how to build a GAI solution by exploring 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.

Uday Theepireddy

Ayan Ray

Unlocking the potential of large language models: Elastic's first code contribution to LangChain
Integrations

Unlocking the potential of large language models: Elastic's first code contribution to LangChain

In this blog, we explore the exciting synergy between Langchain and Elasticsearch, two powerful tools transforming the landscape of large language models. We provide an overview of the collaboration and its potential to shape application development.

Jeff Vestal

Accessing machine learning models in Elastic
Integrations

Accessing machine learning models in Elastic

Bring your own transformer models into Elastic to use optimized embedding models and NLP, or integrate with third-party transformer modes such as OpenAI GPT-4 via APIs to leverage more accurate, business-specific content based on private data stores.

Bernhard Suhm

Josh Devins

Privacy-first AI search using LangChain and Elasticsearch
Integrations

Privacy-first AI search using LangChain and Elasticsearch

The world of search is changing very quickly. ChatGPT has cemented generative AI's place in making finding data faster. We'll use Elasticsearch and LangChain to build a private trivia bot on fun Star Wars trivia data.

Dave Erickson