Vector Database

Playground: Experiment with RAG applications with Elasticsearch in minutes
Vector DatabaseHow ToGenerative AI

Playground: Experiment with RAG applications with Elasticsearch in minutes

Playground is a low code interface for developers to explore grounding LLMs of their choice with their own private data, in minutes.

Joe McElroy

Serena Chou

All Articles
Elasticsearch vs. OpenSearch: Vector Search Performance Comparison
Vector DatabaseGenerative AILucene

Elasticsearch vs. OpenSearch: Vector Search Performance Comparison

Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search

Ugo Sangiorgi

Elasticsearch new semantic_text mapping: Simplifying semantic search
Vector Database

Elasticsearch new semantic_text mapping: Simplifying semantic search

Using the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch

Carlos Delgado

Mike Pellegrini

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch
How ToVector Database

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch

This blog provides a guide on using Elasticsearch's hybrid geo-semantic search capabilities to efficiently navigate and retrieve data from a diverse dataset of 2 million TripAdvisor reviews for personalized attraction recommendations.

Lily Adler

Designing for large scale vector search with Elasticsearch
Vector Database

Designing for large scale vector search with Elasticsearch

Part 1: High-fidelity dense vector search in Elasticsearch. Learn how we achieve a 75% memory reduction without impacting search quality.

Jim Ferenczi

Intelligent RAG, Fetch Surrounding Chunks
Generative AIVector Database

Intelligent RAG, Fetch Surrounding Chunks

Explore Fetch Surrounding Chunking, an emerging pattern in RAG that uses intelligent chunking and Elasticsearch vector database to optimize LLM responses. This approach balances data input to enhance the accuracy and relevance of LLM-generated answers through semantic hybrid search.

Sunile Manjee

Introducing Retrievers - Search All the Things!
Vector Database

Introducing Retrievers - Search All the Things!

Learn about Elasticsearch retrievers, including Standard, kNN, text_expansion, and RRF. Discover how to use retrievers with examples.

Jeff Vestal

Jack Conradson

Semantic Reranking in Elasticsearch with Retrievers
Vector DatabaseHow To

Semantic Reranking in Elasticsearch with Retrievers

Explore strategies for boosting the relevance of your top search results.

Adam Demjen

Nick Chow

Using Elasticsearch as a vector database for Azure OpenAI On Your Data
IntegrationsHow ToVector Database

Using Elasticsearch as a vector database for Azure OpenAI On Your Data

Explore how to quickly set up and ingest data into Elasticsearch for use as a vector database with Azure OpenAI On Your Data, enabling you to chat with your private data.

Paul Oremland

Elasticsearch open inference API adds Azure AI Studio support
IntegrationsHow ToGenerative AIVector Database

Elasticsearch open inference API adds Azure AI Studio support

Elasticsearch open inference API adds support for embeddings generated from models hosted on Azure AI Studio and completion tasks from large language models such as Meta-Llama-3-8B-Instruct."

Mark Hoy