Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Elastic Support Hub starts using semantic search
We transitioned our Support Hub to semantic search, a more advanced search method that understands user intent rather than relying on keywords. This transition helps provide customers with more relevant search results in Elastic's support content.
How do Elasticsearch snapshots work?
During our instructor-led “Elasticsearch Engineer” training, one of the most common questions we get while teaching about snapshots is “what is the incremental nature of snapshots?” This blog post will cover that topic in detail.
Chunking large documents via ingest pipelines plus nested vectors equals easy passage search
Learn how to chunk large documents using ingest pipelines and nested vectors in Elasticsearch for easy passage search in vector search.
Retrieval Augmented Generation (RAG)
Learn about Retrieval Augmented Generation (RAG) and how it can help improve the quality of an LLM's generated responses by providing relevant source knowledge as context.
Understanding scalar quantization in Lucene
Explore how Elastic introduced scalar quantization into Lucene, including automatic byte quantization, quantization per segment & performance insights.
Implementing image search: vector search via image processing in Elasticsearch
Learn how to implement image search with an example. This blog covers how to use vector search through image processing in Elasticsearch.
A conversational search experience for retail: Elasticsearch Relevance Engine with Google Cloud’s generative AI
This blog presents a new search experience for retailers using generative AI with Vertex AI and Elasticsearch.
Using hybrid search for gopher hunting with Elasticsearch and Go
Learn how to achieve hybrid search by combining keyword and vector search using Elasticsearch and the Elasticsearch Go client.
Perform vector search in Elasticsearch with the Elasticsearch Go client
Learn how to perform vector search in Elasticsearch using the Elasticsearch Go client through a practical example.
Perform text queries with the Elasticsearch Go client
Learn how to perform traditional text queries in Elasticsearch using the Elasticsearch Go client through a practical example.
Elasticsearch as a GenAI caching layer
Explore how integrating Elasticsearch as a caching layer optimizes Generative AI performance by reducing token costs and response times, demonstrated through real-world testing and practical examples.
