AndorSearch

Ice: weather, hockey, glaciers… or deportations? How do you tell a search engine which one you mean? youtu.be/xPIBKd7kRQw

My web app for clustering and reading the latest news. news.inperspective.com

Today’s news, dynamically clustered, labelled then visualised using @carrotsearch FoamTree

I've released an open-source version of the significant terms algorithms for use in browsers today. Play with the demo: significance.andorsearch.co Get the code: @andorsearch/significant-terms" target="_blank" rel="nofollow noopener">npmjs.com/package/@andor… Watch the explainer: youtube.com/watch?v=Te_N8q…

Spotting significant terms was something I added to elasticsearch. Can we do it more cheaply in the browser with similar quality? It looks like the answer is "yes" youtu.be/Te_N8qveCKY

Honoured to join the lineup of search experts interviewed in this series. We talk myths, “OR is mORe,” and how vectors should be treated like plasticine, not porcelain. Thanks Itamar and Zevi! pulse.support/top-voices/mar…

@OramaSearch That’s a long way to say “price < 100” 😀

Orama v3.1.11 is out with support for explicit AND, OR, and NOT filters!

My talk on “emergent facets” at this week’s Search and AI Meetup youtu.be/U1RGTMesCq0

Tag, drag, discover: How LLMs can create useful, instant filters from raw text youtu.be/mQPKLciQIHU

Example of the Boolean query’s detailed match profile - useful for human or AI refinement.

First look at an AI agent for refining explainable searches. Shows what was changed, why and if it’s working with each iteration.

Presenting at #GenAISummit tomorrow - using @AndOrSearch to refine and cluster text, vector & geo queries, graphically. AndOr is built to support choice of back ends and this demo will use @vespaengine

@Redisinc @RaphaelDeLio Any plans to support bit vectors with hamming distance?

Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications. Join @RaphaelDeLio in this video, as he breaks them all down using a simple analogy—planets in our solar system! You’ll learn: ✅ How vector databases store and compare data 🔢 ✅ Why AI isn’t required, but makes vector search more powerful 🤖 ✅ The role of embedding models in modern search & recommendations 🔍 ✅ How Redis delivers the fastest vector search on the market ⚡

AndOr’s graphical query language now targets multiple databases: * Elastic/open search * Vespa * Redis * JavaScript db Making progress on the query compatibility matrix:

My elasticon talk on qry.codes is up - Binary vectors and in-browser clustering

Looking forward to talking about “fuzzy facets” using binary vector clustering at this week’s elasticon London. elastic.co/events/elastic…

Will be giving this talk on Thursday with a demo of new features.

Introducing qry.codes - draggable, merge-able search topics that can be combined with AndOr’s graphical Boolean search. Based on binary vectors.

@neo4j FYI the chatbot linked to from the article is down

Check out how Christopher Roberts harnessed the power of natural language queries and knowledge graphs at GraphSummit Minneapolis! Find out how he built a #RAG system using patent data on a #Neo4j database. bit.ly/45Durke #KnowledgeGraphs

Warning: your Lucene-based queries can easily be doing something you would not expect. youtu.be/y9xwzsKrTiA