If search is the game, looks matter
Introduction
A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Semble: Fast and Accurate Code Search for Agents
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Fast regex search: indexing text for agent tools · Cursor
How we're building indexes for regular expression search so agents can find text in large monorepos without the 15-second ripgrep waits.
Parseword - A tricky wordplay game
Transform phrases through wordplay to solve cryptic crossword puzzles.
RSL for RAG/search makes sense, RSL for training doesn't · rslstandard · Discussion #1
The top of https://rslcollective.org/license says: Below are instructions for making your content available for training AI models through the collective licensing terms negotiated by the RSL Colle...
FromSoft Image Macro Creator
Create convincing looking image macros based on FromSoft games.
Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI
Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector database and RAG pipeline.
Meilisearch: Unified Search & AI Retrieval Platform
Build lightning-fast search and AI retrieval with Meilisearch. Open-source, developer-friendly search engine trusted by 20,000+ teams worldwide.
blog 010: anne hero's online shopping guide
searching is: using a query to capture results. you can use boolean expressions to add constraints to your search. the problem is, sellers on secondhand e-commerce websites are not consistent in their listing title, descriptions, use of hard categories, and on e-commerce platforms ran by teenagers: knowledge. in order to see as much clothes as possible, you need to maximize how many listings you capture.
feynon on Twitter / X
how is Claude not RAG? As per my understanding from your writeup it uses structured tool calls and keyword based (I assume semantic text based) text search, instead of a regular vector database approach, isn’t the latter retrieval too?— feynon (@feynon_) September 15, 2025
&udm=14 | the disenshittification Konami code
A quick way to get an AI-free search without any extra work.
Color Hunt - Color Palettes for Designers and Artists
Discover the newest hand-picked color palettes of Color Hunt. Get color inspiration for your design and art projects.
test highlights - underreacted
Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki
LLM agents require retrieval to behave less like one-shot context fetching and more like reasoning: searching, reading, traversing, and deciding when evidence is sufficient. Yet current Retrieval-Augmented Generation (RAG) systems organize external knowledge as flat chunks retrieved by embedding similarity, exposing a retrieval-as-lookup interface ill-suited to iterative reasoning agents. We propose LLM-Wiki, an agent-native retrieval system that operationalizes the Retrieval-as-Reasoning paradigm by treating external knowledge as a compilable, composable, and self-evolving structure rather than a static retrieval index. LLM-Wiki compiles documents into structured Wiki pages with bidirectional links, exposes search, read, and link-following operations through standard tool-calling interfaces, and introduces an Error Book for persistent structural and semantic self-correction. LLM-Wiki achieves state-of-the-art results on HotpotQA, MuSiQue, and 2WikiMultiHopQA, outperforming HippoRAG 2, LightRAG, and GraphRAG by 2.0-8.1 F1 points. On AuthTrace, LLM-Wiki achieves the best overall accuracy, with especially strong gains on multi-document structured queries, confirming that compilation-based retrieval generalizes beyond chain-style multi-hop reasoning.
Tyler Angert on Twitter / X
we're working on a new photo search engine called Angles. it's focused on doing one thing well: finding photos + videos by visual similarity.here is raw, unedited footage of me going through my 80,000 photo camera roll *in realtime* with text-to-image search, image-to-image… pic.twitter.com/fsCqIHv00j— Tyler Angert (@tylerangert) March 24, 2026
