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Intelligent RAG data chunking: Fetch surrounding chunks
Elasticsearch Labs

Intelligent RAG data chunking: Fetch surrounding chunks

Learn about data chunking in RAG and explore fetch surrounding chunking, a pattern in RAG that uses chunking and Elasticsearch to refine LLM responses.

Sunile Manjee
Scoring documents based on the closest ones with multiple kNN fields
Elasticsearch Labs

Scoring documents based on the closest ones with multiple kNN fields

Learn how to search through documents with multiple kNN fields, and score the resultant documents based on multiple kNN vector fields.

Madhusudhan Konda
Semantic reranking in Elasticsearch with retrievers
Elasticsearch Labs

Semantic reranking in Elasticsearch with retrievers

Explore strategies for using semantic reranking to boost the relevance of top search results, including semantic reranking with retrievers.

Adam Demjen
Introducing Retrievers - Search All the Things!
Elasticsearch Labs

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
How to choose the best k and num_candidates for kNN search
Elasticsearch Labs

How to choose the best k and num_candidates for kNN search

Learn strategies for selecting the optimal values for `k` and `num_candidates` parameters in kNN search, illustrated with practical examples.

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

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

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

Paul Oremland
Elasticsearch open inference API adds support for Azure OpenAI embeddings
Elasticsearch Labs

Elasticsearch open inference API adds support for Azure OpenAI embeddings

Elasticsearch open inference API adds support for Azure OpenAI embeddings to be stored in the world's most downloaded vector database.

Mark Hoy
Elasticsearch open inference API adds Azure AI Studio support
Elasticsearch Labs

Elasticsearch open inference API adds Azure AI Studio support

Elasticsearch open inference API now supports Azure AI Studio. Learn how to use Azure AI Studio capabilities with Elasticsearch in this blog.

Mark Hoy
Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures
Elasticsearch Labs

Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures

Benchmarking in preview provides Elasticsearch up to 37% better performance on Azure Cobalt 100 Arm-based VMs.

Yuvraj Gupta
Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure
Elasticsearch Labs

Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure

Elasticsearch added a new vector search optimized profile to Elastic Cloud on Microsoft Azure. Get started and learn how to use it here.

Serena Chou
How to choose between exact and approximate kNN search in Elasticsearch
Elasticsearch Labs

How to choose between exact and approximate kNN search in Elasticsearch

Learn more about exact and approximate kNN search in Elasticsearch, and when to use each one.

Carlos Delgado
Search relevance tuning: Balancing keyword and semantic search
Elasticsearch Labs

Search relevance tuning: Balancing keyword and semantic search

This blog offers practical strategies for tuning search relevance that can be complementary to semantic search.

Kathleen DeRusso

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