Blogs
Navigating an Elastic vector database
An overview of operating a modern Elastic vector database with practical code samples.
Introducing LangChain4j to simplify LLM integration into Java applications
LangChain4j (LangChain for Java) is a powerful toolset to build your RAG application in plain Java.
LangChain and Elasticsearch accelerate time to build AI retrieval agents
Elasticsearch and LangChain collaborate on a new retrieval agent template for LangGraph for agentic apps
Architecting the next-generation of Managed Intake Service
APM Server has been the de facto service for ingesting data from Elastic APM agents and OTel agents. In this blog post, we will walk through our journey of redesigning the APM Server product to scale and evolve into a more generic ingest component for Elastic Observability while also improving the reliability and maintainability compared to the traditional APM Server.
Evaluating search relevance part 2 - Phi-3 as relevance judge
Using the Phi-3 language model as a relevance judge, with tips & techniques to improve the agreement with human-generated annotation
Elasticsearch open Inference API adds support for AlibabaCloud AI Search
Discover how to use Elasticsearch vector database with AlibabaCloud AI Search, which offers inference, reranking, and embedding capabilities.
Open Crawler now in beta
The Open Crawler is now in beta. This latest version 0.2 update also comes with several new features.
Understanding BSI IT Grundschutz: A recipe for GenAI powered search on your (private) PDF treasure
An easy approach to create embeddings for and apply semantic GenAI powered search (RAG) to documents as part of the BSI IT Grundschutz using Elastic's new semantic_text field type and the Playground in Elastic.
Elasticsearch open inference API adds native chunking support for Hugging Face
Elasticsearch open inference API extends support for models from Hugging Face, and brings native chunking to Hugging Face users
Unlocking multilingual insights: translating datasets with Python, LangChain, and Vector Database
Learn how to translate a dataset from one language to another and use Elastic's vector database capabilities to gain more insights.