Blogs
Entwickler-Einblicke und praktische Anleitungen von unseren Experten, um Ihr Sucherlebnis zu inspirieren und zu verbessern
Efficient bitwise matching in Elasticsearch
Explore six approaches to encoding and matching binary data in Elasticsearch, including terms encoding (my preferred approach), boolean encoding, sparse bit position encoding, integer encoding with exact matching, integer encoding with scripted bitwise matching, and integer encoding with ESQL for bitwise matching, with practical examples and use cases.
From PDF tables to insights: An alternative approach for parsing PDFs in RAG
An alternative approach to parsing PDF tables for RAG, overcoming the limitations of highly normalized formats like CSV and JSON.
Unlock the power of your data with RAG using Vertex AI and Elasticsearch
Unlock your data's potential with RAG using Vertex AI and Elasticsearch. This blog series covers data ingestion into Elasticsearch for a robust knowledge base for creating advanced RAG based search applications.
How to use Elasticsearch with popular Ruby tools
Take a look at how to use Elasticsearch with some popular Ruby libraries.
NEST lifetime extended & Elastic.Clients.Elasticsearch (v8) Roadmap
Announcing the extension of the NEST (v7) lifetime and providing a high level overview of the Elastic.Clients.Elasticsearch (v8) roadmap.
Apache Lucene 10 is out! Improvements to Lucene's hardware efficiency & more
Apache Lucene 10 has been released, with a focus on hardware efficiency! Check out the main release highlights.
Which job is the best for you? Using LLMs and semantic_text to match resumes to jobs
Learn how to use Elastic's LLM Inference API to process job descriptions, and run a double hybrid search to find the most suitable job for your resume.
How to ingest data from AWS S3 into Elastic Cloud - Part 2 : Elastic Agent
Learn about different options to ingest data from AWS S3 into Elastic Cloud. This blog covers how to ingest data from AWS S3 using Elastic Agent.
Building a search app with Blazor and Elasticsearch
Learn how to build a search application using Blazor and Elasticsearch, and how to use the Elasticsearch .NET client for hybrid search.
LangChain4j with Elasticsearch as the embedding store
LangChain4j (LangChain for Java) has Elasticsearch as an embedding store. Discover how to use it to build your RAG application in plain Java.
Comparing ELSER for retrieval relevance on the Hugging Face MTEB Leaderboard
This blog compares ELSER for retrieval relevance on the Hugging Face MTEB Leaderboard.
Using Eland on Elasticsearch Serverless
Learn how to use Eland on Elasticsearch Serverless.