LLM Docs
Token-optimized minified popular docs
LLM Docs launched on February 12, 2025 with 12 votes, #1,365 of 5,999 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Instant access to single file documentation for popular libraries. Optimized for LLM context windows with minified versions. Search, compare, and copy documentation with ease.
Instant access to documentation for popular AI and ML libraries. Optimized for LLM context windows with minified versions. Search, compare, and copy documentation with ease.
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Min.js style compression of tech docs for LLM context2025 · github.com · ▲177Min.js Style Compression of Tech Docs for LLM Context - marv1nnnnn/llm-min.txt
LLM-docs, software documentation intended for consumption by LLMs2025 · github.com · ▲28I was inspired by a recent tweet by Andrej Karpathy, as well as my own experience copying and pasting a bunch of html docs into Claude yesterday and bemoaning how long-winded and poorly formatted it was. I’m trying to decide if I should make it into a full-fledged service and completely automate the process of generating the distilled documentation. Problem is that it would cost a lot in API tokens and wouldn’t generate any revenue (plus it would have to be updated as documentation changes significantly). Maybe Anthropic wants to fund it as a public good? Let me know!
- TLTiny LLMs – Browser-based private AI models for a wide array of tasks2023 · tinyllms.vercel.app · ▲142
LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG2024 · github.com · ▲51Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…
I just open sourced my document/website extractor for Vision-LLMs2024 · github.com · ▲37Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
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