#search

60 bookmarks tagged with #search · RSS Feed · ← All Tags

DuckDuckGo !Bangs

https://duckduckgo.com/bangs
Bangs are shortcuts that quickly take you to search results on other sites. For example, when you know you want to search on another site like Wikipedia or Amazon, our bangs get you there fastest. A search for !w filter bubble will take you directly to Wikipedia.

Why blocking LLMs from your website is dumb | by John Wang | Aug, 2025 | Medium

https://johnjianwang.medium.com/why-blocking-llms-from-your-website-is-dumb-3dc7c3c9097d
LLMs are the next generation’s search layer. They’re already generating massive amounts of pipeline for the companies and websites that have gotten good at getting their content displayed in LLMs. Combine that with the fact that most LLMs have an agentic web-search component that will actively generate links, and you have a massive funnel of potential readers for your content.

Embeddings are underrated

https://technicalwriting.dev/ml/embeddings/overview.html
Embeddings aren't exactly new, but they have become much more widely accessible in the last couple years. What embeddings offer to technical writers is the ability to discover connections between texts at previously impossible scales.

VectorVFS: Your Filesystem as a Vector Database

https://vectorvfs.readthedocs.io/en/latest/
VectorVFS is a lightweight Python package that transforms your Linux filesystem into a vector database by leveraging the native VFS (Virtual File System) extended attributes. Rather than maintaining a separate index or external database, VectorVFS stores vector embeddings directly alongside each file—turning your existing directory structure into an efficient and semantically searchable embedding store.

Implementing Filtered Semantic Search Using Pgvector and JavaScript

https://www.timescale.com/blog/implementing-filtered-semantic-search-using-pgvector-and-javascript-2/
Conventional search methods rely on keyword matching, where the system locates exact words or phrases from the query within documents. This technique can be enhanced to better capture the context and intent behind the user's query, leading to more relevant and precise search results. Semantic search focuses on understanding the meaning and intent behind the query. Combining semantic search with filters—or additional parameters to narrow the results based on specific attributes—further improves accuracy. In this article, we explore semantic search with filters and demonstrate how you can implement it using pgvector and JavaScript.

ArtLung: Owning my own bookmarks over 20 years ~ 31 Oct 2024

https://artlung.com/blog/2024/10/31/owning-my-own-bookmarks-over-20-years/
I wrote code (in PHP) to import my old bookmarks. And you didn’t misread that, it’s 28,000 links over the last 20 years. They come from my original links blog, and from Delicious, and from Instapaper, and from Twitter back when I backfilled those shared links into Pinboard, which I then backfilled into my link blog database. It’s a lot of things, but really, it’s straightforward from a programming point of view. It’s a simple POST to the REST API which Linkding provides by default. I have shared most of the code I wrote as a Gist in GitHub. It includes code in PHP to convert exported CSV from Instapaper to a JSON format that my poster code can use. And over the last 2 days and over many hours, every few seconds a link would be posted. And as of now, it’s finished.

Introducing sqlite-lembed: A SQLite extension for generating text embeddings locally | Alex Garcia's Blog

https://alexgarcia.xyz/blog/2024/sqlite-lembed-init/index.html
sqlite-lembed is a SQLite extension for generating text embeddings, meant to work alongside sqlite-vec. With a single embeddings model file provided in the .gguf format, you can generate embeddings using regular SQL functions, and store them directly inside your SQLite database. No extra server, process, or configuration needed!

Hybrid full-text search and vector search with SQLite | Alex Garcia's Blog

https://alexgarcia.xyz/blog/2024/sqlite-vec-hybrid-search/index.html
You can use SQLite's builtin full-text search (FTS5) extension and semantic search with sqlite-vec to create "hybrid search" in your applications. You can combine results using different methods like keyword-first, re-ranking by "semantics", and reciprocal rank fusion. Best of all, since it's all in SQLite, experiments and prototypes are cheap and easy, no 3rd party services required!

APIsearch

http://apis.io
Welcome to APIs.io - an experimental API Search service to help discover APIs on the web. The service uses the APIs.json proposed discovery format. To find APIs type your request in the search box.

Google keyword: Pepsi | MetaFilter

http://www.metafilter.com/109207/Google-keyword-Pepsi
Two weeks ago, Google disabled the + operator for searches, requiring quotation marks to force inclusion of a word. Today, Google Plus rolled out a new feature - Pages for companies and brands, so you can "build relationships with all the things you care about". Included is Direct Connect - go straight to Pepsi's Google+ page by searching for +Pepsi.

Searching across websites with OpenSearch | StressFree

http://www.stress-free.co.nz/searching_across_websites_with_opensearch
"Providing search services that span a number of disparate websites is a challenging problem that in the past has been left to the big-boys such as Google. However Amazon's OpenSearch RSS format is changing this reality and providing a means for effective multiple website search to be deployed at low cost by small development teams. "

Do Tags Work?

http://www.tekka.net/10/tags.html
If you can get past the rambling paragraphs of awkward fun-poking at tags interspersed with library science / web 2.0 / cultural references—as well as a discovery of what, you know, Flickr is all about—there's a well-embellished and obsessively-assembled statistical analysis of tags vs title vs notes in finding photos featuring tourist heel-spinning on the testicles of a bull mosaic in Milan. My impression is that she's missed the point of tags, but I'm having trouble reducing the impression to a critique.

A VC: delicious search

http://avc.blogs.com/a_vc/2008/02/delicious-searc.html#comment-124223
"Here is to hoping Yahoo! figures out how to better leverage Delicious without killing it in the process. They have done an admirable job in not killing Flickr, and lets see if they can do the same for Delicious. In the meantime, kudos to Joshua and the D

XML.com: Introducing OpenSearch

http://www.xml.com/pub/a/2007/07/20/introducing-opensearch.html?ATT=Introducing+OpenSearch&CMP=OTC-TY3388567169
"You go to your favorite Web 2.0 search engine and set up a query like http://web20.example.com/search=john+doe&ouptut=atom and search for "john doe," but rather than getting back results as the usual HTML web page, you get it back in Atom format."

MonitorThis

http://alp-uckan.net/free/monitorthis
"With MonitorThis you can subscribe to 22 different search engine feeds at the same time. Enter a search term and click the 'make monitor.opml' button to get a list of rss feeds in OPML format."

What is OPML? (GnomeREPORT)

http://channels.lockergnome.com/windows/archives/20060317_what_is_opml.phtml
"That's just an OPML document which displays all the categories and feeds we pre-populate with your keyword on Gada.be. Go ahead, change the word "keyword" to something else - watch what happens."