Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Entity resolution with Elasticsearch, part 3: Optimizing LLM integration with function calling
Learn how function calling enhances LLM integration, enabling a reliable and cost-efficient entity resolution pipeline in Elasticsearch.
Using subagents and Elastic Agent Builder to bring business context into code planning
Learn about subagents, how to ensure they have the right information, and how to create a specialized subagent that connects Claude Code to your Elasticsearch data.
Adaptive early termination for HNSW in Elasticsearch
Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.
Common Expression Language (CEL): How the CEL input improves data collection in Elastic Agent integrations
Learn how the Common Expression Language differs from other programming languages, how we’ve extended it for Filebeat’s CEL input, and the flexibility it gives you to express data collection logic in Elastic Agent integrations.
Entity resolution with Elasticsearch & LLMs, Part 2: Matching entities with LLM judgment and semantic search
Using semantic search and transparent LLM judgment for entity resolution in Elasticsearch.
Elasticsearch vector search is up to 8x faster than OpenSearch
Exploring filtered vector search benchmarks of OpenSearch vs. Elasticsearch and why vector search performance is critical for context-engineered systems.
Elastic AutoOps now free for all: What you get with it
Elastic AutoOps is now free for all self-managed clusters. Learn what you get with it and how it compares to Stack Monitoring.
Build a "chat with your website data" agent with Jina Embeddings v5 and Elasticsearch
Learn how to build a working, grounded "chat with your website" experience in under an hour by using Elasticsearch Serverless, Jina Embeddings v5, Elastic Open Web Crawler, and Elastic Agent Builder.
jina-embeddings-v5-text: Compact state-of-the-art text embeddings for search and intelligent applications
Introducing jina-embeddings-v5-text models, including jina-embeddings-v5-text-small and jina-embeddings-v5-text-nano, and explaining how to use these multilingual embedding models via Elastic Inference Service (EIS).
Ensuring semantic precision with minimum score
Improve semantic precision by employing minimum score thresholds. The article includes concrete examples for semantic and hybrid search.
Dependency management on Kubernetes
How to streamline dependency management on Kubernetes using Renovate CLI and Argo Workflows.
