October 21, 2024
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.
October 18, 2024
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.
October 17, 2024
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.
October 16, 2024
How to use Elasticsearch with popular Ruby tools
Take a look at how to use Elasticsearch with some popular Ruby libraries.
October 15, 2024
Why we're extending the NEST lifetime, and a roadmap for Elastic.Clients.Elasticsearch (v8)
Announcing the extension of the NEST (v7) lifetime and providing a high level overview of the Elastic.Clients.Elasticsearch (v8) roadmap.
October 14, 2024
Apache Lucene 10 is out! Improvements to Lucene's hardware efficiency & more
Apache Lucene 10 was just released, with a focus on hardware efficiency! Check out the main release highlights.
October 11, 2024
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.
October 10, 2024
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.
October 9, 2024
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.