links.lmorchard.com - #search

tobi/qmd: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

Mon, 20 Apr 2026 04:16:15 +0000

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

Tags: #ai #embeddings #llms #rag #search

DuckDuckGo !Bangs

Sun, 12 Apr 2026 23:04:16 +0000

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.

Tags: #duckduckgo #search

A fun trick for getting discovered by LLMs and AI tools

Mon, 26 Jan 2026 03:51:45 +0000

I have been getting a lot of newsletter responses, DMs, and emails in general saying that people have discovered my work not via traditional SEO, but via LLMs and AI tools like ChatGPT, Claude, Perplexity, and even GitHub Copilot.

Tags: #ai #llms #metablogging #search #seo #web

Is the LLM response wrong, or have you just failed to iterate it?

Sun, 07 Sep 2025 21:43:56 +0000

Tags: #ai #llms #misinformation #search

A Secret Web

Sun, 07 Sep 2025 18:20:39 +0000

Tags: #indieweb #search #smallweb #webdev

GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search

Sun, 07 Sep 2025 15:41:17 +0000

Tags: #ai #chatgpt #llms #openai #search

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

Wed, 06 Aug 2025 22:18:24 +0000

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.

Tags: #ai #llms #search #web

Death by AI - Dave Barry’s Substack

Wed, 23 Jul 2025 20:57:32 +0000

I found out about my death the way everybody finds out everything: from Google.

Tags: #ai #davebarry #google #llm #search

Embeddings are underrated

Tue, 13 May 2025 02:13:34 +0000

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.

Tags: #ai #embeddings #ml #search #writing

VectorVFS: Your Filesystem as a Vector Database

Wed, 07 May 2025 22:05:49 +0000

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.

Tags: #ai #embeddings #llm #ml #search #vectordbs #vectors

every time I do a web search, right at the top I have AI info dumping on me just give me the top result please – @andthentheresanne on Tumblr

Fri, 31 Jan 2025 00:25:12 +0000

Swear in your search request. I know it sounds ridiculous, but the most effective way I've found of it not doing the AI summary is just to add "fucking" go my search.

Tags: #ai #google #search

Implementing Filtered Semantic Search Using Pgvector and JavaScript

Wed, 11 Dec 2024 20:21:45 +0000

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.

Tags: #ai #dev #ml #postgresql #psql #search #vector

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

Tue, 26 Nov 2024 18:17:53 +0000

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.

Tags: #bookmarks #delicious #links #search #selfhosting #web

TylerFisher/sill: Find the most popular links from your Mastodon/Bluesky networks

Fri, 22 Nov 2024 18:11:32 +0000

Find the most popular links from your Mastodon/Bluesky networks

Tags: #bluesky #bsky #mastodon #search #social

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

Wed, 02 Oct 2024 18:50:39 +0000

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!

Tags: #ai #embedding #ml #search #sqlite