Elasticsearch Labs Blog

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RAG (Retrieval Augmented Generation) with LlamaIndex, Elasticsearch and Mistral
Generative AI

RAG (Retrieval Augmented Generation) with LlamaIndex, Elasticsearch and Mistral

Learn to implement a RAG system using LlamaIndex, Elasticsearch and locally running Mistral.

Srikanth Manvi

How to ingest MongoDB data into Elastic Cloud
How To

How to ingest MongoDB data into Elastic Cloud

Get insight into your MongoDB data using Elastic Cloud. Follow along step-by-step to ingest data into Elastic Cloud using the Elastic MongoDB connector.

Hemendra Singh Lodhi

Elasticsearch open inference API adds support for Cohere Embeddings
IntegrationsHow ToVector Search

Elasticsearch open inference API adds support for Cohere Embeddings

Learn more about how to use Cohere embeddings with Elastic built search experiences!

Serena Chou

Jonathan Buttner

Dave Kyle

Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model
IntegrationsHow ToVector SearchGenerative AI

Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model

“Elasticsearch integrates semantic reranking with Cohere’s Rerank models, with the inclusion of Rerank into our open Inference API.”

Serena Chou

Max Hniebergall

Scaling ML Inference Pipelines in Elasticsearch: How to avoid issues and troubleshoot bottlenecks
Vector Search

Scaling ML Inference Pipelines in Elasticsearch: How to avoid issues and troubleshoot bottlenecks

Learn different strategies to run Machine Learning Inference pipelines in Elasticsearch smoothly and easily.

Iulia Feroli

From ES|QL to PHP objects
How ToIntegrations

From ES|QL to PHP objects

How to execute and manage ES|QL queries in PHP

Enrico Zimuel

Ingest Data from Snowflake to Elasticsearch using Meltano: A developer’s journey
How To

Ingest Data from Snowflake to Elasticsearch using Meltano: A developer’s journey

Learn how to ingest data from Snowflake to Elasticsearch using Meltano. Follow along step-by-step to set up Meltano, establish a connection to Snowflake, and ingest data into Elasticsearch.

Dmitrii Burlutskii

Evolving How We Ingest Binary Document Formats
Ingestion

Evolving How We Ingest Binary Document Formats

In this blog, we share the history of extracting text from binaries at Elastic, and announce a new open-code solution.

Sean Story

Building a RAG System With Gemma, Hugging Face & Elasticsearch
Generative AI

Building a RAG System With Gemma, Hugging Face & Elasticsearch

Learn to construct an RAG system with Elasticsearch for semantic search and question-answering on private data. Fetch relevant documents as a Context window and leverage the Gemma model for accurate answers.

Ashish Tiwari