Top all-time · #19481
Sease
Company blog · sease.io/blog-2/our-blogdataprogramming
Sease is the company blog at sease.io, writing about data and programming. Since 2018, 4 different Hacker News readers have linked it 5 times. It is still writing: the last post was on 2026-10-23, and you can follow it by feed.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN readers link Sease's writing on search engine design, contrasting a search engine built on Lucene/Solr with a vector DB for RAG. One commenter cites it as matching their own Solr experience.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Sease is a company specialising in information retrieval. We provide IR consulting services, training sessions for beginners and advanced professionals, and information retrieval tools and plugins.
What Hacker News says?
This is a good opportunity to update my search reading list. Books * Lucene in Action - A bit out of date, but it has a lot of the core concepts of Lucene. 10 years ago, this was the go-to book even if you’re working with Solr or Elasticsearch, to understand the core data structures * Relevant Search (my book) - Introduction to optimizing the relevance of full text search engines. Getting a bit old now, but still re…
Comment linking /training
on “Ask HN: I want to dive into how to make search engines”Submitted Elasticsearch Neural Search as a story · 1 points
HN discussion> "Has somebody experience with Apache Lucene / Solr or Elasticsearch?" I've been working on a RAG with Solr, and quickly hit some of the issues you describe when dealing with real-world messy data and user input, e.g. using all-MiniLM-L6-v2 and cosine similarity, "Can you summarize Immanuel Kant's biography?" matched a chunk containing just the word "Biography" rather than one which started "Immanuel Kant, born in…
Comment linking /2023/12/hybrid-search-with-apache-solr.html
on “Build a search engine, not a vector DB”Submitted Rated Ranking Evaluator: Help the Poor (Search Engineer) as a story · 1 points
HN discussion