Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Elasticsearch geospatial search with ES|QL
Geospatial search in Elasticsearch Query Language (ES|QL). Elasticsearch has powerful geospatial search features, which are now coming to ES|QL for dramatically improved ease of use and OGC familiarity.
GenAI for Customer Support — Part 3: Designing a chat interface for chatbots... for humans
This series gives you an inside look at how we’re using generative AI in customer support. Join us as we share our journey in designing a GenAI chatbot interface.
Search tier autoscaling in Elasticsearch Serverless
Explore search tier autoscaling in Elasticsearch Serverless. Learn how autoscaling works, how the search load is calculated and more.
Elasticsearch query rules are now generally available
Introducing the general availability of query rules
Introducing Serverless Thin Indexing Shards
Learn about Thin Indexing Shards, a new component developed especially for Elasticsearch in our Elastic Cloud Serverless offering.
Building multilingual RAG with Elastic and Mistral
Building a multilingual RAG application using Elastic and Mixtral 8x22B model
Mistral AI embedding models now available via Elasticsearch Open Inference API
Learn more about how to use Mistral embeddings with Elastic built search experiences!
How we optimized refresh costs in Elasticsearch Serverless
We explore how serverless Elasticsearch facilitates searches using data stored in a blob store while maintaining the same visibility semantics as stateful Elasticsearch. We discuss the challenges encountered during implementation and share strategies for balancing costs and complexity.
Ingest autoscaling in Elasticsearch
Learn more about how Elasticsearch autoscales to address ingestion load.
Serverless semantic search with ELSER in Python: Exploring Summer Olympic games history
This blog shows how to fetch information from an Elasticsearch index, in a natural language expression, using semantic search. We will load previous olympic games data set and then use the ELSER model to perform semantic searches.
Protecting Sensitive and PII information in RAG with Elasticsearch and LlamaIndex
How to protect sensitive and PII data in a RAG application with Elasticsearch and LlamaIndex.
