Vector Search
Semantic Reranking in Elasticsearch with Retrievers
Explore strategies for boosting the relevance of your top search results.
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.
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."
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.
Elasticsearch delivers performance increase for users running the Elastic Search AI Platform on Arm-based architectures
Benchmarking in preview provides up to 37% better performance on Microsoft Cobalt 100 Arm-based VMs
Elastic Cloud adds Elasticsearch Vector Database optimized profile to Microsoft Azure
Elasticsearch adds a new vector search optimized profile to Elastic Cloud on Microsoft Azure.
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
Retro relevance: Balancing keyword and semantic search
Highlights from a Haystack 2024 talk on balancing keyword and semantic search, saving time and effort for better relevance
Vector similarity techniques and scoring
Learn about all the similarity functions supported by Elasticsearch to compare vectors