Category: Vector Database

Articles tagged Vector Database

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Playground: Experiment with RAG applications with Elasticsearch in minutes

Learn about Elastic's Playground and how to use it to experiment with RAG applications using Elasticsearch.

Joe McElroy

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

Learn how to use the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch.

Carlos Delgado

Enhancing recommendations with geo-semantic search in Elasticsearch

Explore Elasticsearch's hybrid geo-semantic search capabilities and learn how to integrate geographical & semantic search to enhance recommendations.

Lily Adler

Designing for large scale vector search with Elasticsearch

Explore the cost, performance and benchmarking for running large-scale vector search in Elasticsearch, with a focus on high-fidelity dense vector search.

Jim Ferenczi

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

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

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!

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

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

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

Mark Hoy

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