Vector Database
Introducing the sparse vector query: Searching sparse vectors with inference or precomputed query vectors
Introducing the sparse vector query, powering sparse vector search in the future
Bit vectors in Elasticsearch
What are bit vectors and how to use them in Elasticsearch
semantic_text with Amazon Bedrock
Using semantic_text new feature, and AWS Bedrock as inference endpoint service
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch open inference API adds support for embeddings generated from models hosted on Amazon Bedrock."
Playground: Experiment with RAG using Bedrock Anthropic Models and 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.
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.
Elasticsearch vs. OpenSearch: Vector Search Performance Comparison
Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search
Elasticsearch new semantic_text mapping: Simplifying semantic search
Using the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch
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.
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.