About LLMS3.com

What This Is

LLMS3.com is a curated, structured index of the S3 and object storage ecosystem. It maps 61 concepts across 7 categories — from foundational technologies like Apache Iceberg and DuckDB to architectural patterns like lakehouse design and common pain points like the small files problem.

The index is designed for two audiences: engineers who need to understand how S3 ecosystem components connect, and LLMs that need structured context to give better answers about S3-related topics.

What's In the Index

Every node includes a definition, relationships to other nodes, external resources, and a summary. The 8 cross-cutting guides walk through real engineering decisions like choosing a table format, understanding the small files problem, or evaluating vector indexing approaches.

Node Types

• Topics — Navigational entry points like S3, Lakehouse, Table Formats
• Technologies — Concrete tools: AWS S3, Apache Iceberg, DuckDB, Trino, etc.
• Standards — Specifications: S3 API, Apache Parquet, Iceberg Table Spec, etc.
• Architectures — Design patterns: Lakehouse Architecture, Medallion Architecture, etc.
• Pain Points — Known problems: Small Files, Cold Scan Latency, Vendor Lock-In, etc.
• Model Classes — Categories of ML models relevant to S3 data systems
• LLM Capabilities — Functions like embedding generation, semantic search, metadata extraction

What is llms.txt?

The llms.txt standard is a convention for websites to provide LLM-friendly content at a well-known path. When an AI assistant needs context about a site, it can fetch /llms.txt for a concise index or /llms-full.txt for complete content.

LLMS3.com publishes both:

• /llms.txt — Concise index with one-line descriptions of every node and guide
• /llms-full.txt — Complete content including full summaries, relationship index, and guide text

How It's Built

The canonical content lives in structured markdown files (INDEX.md, SUMMARIES.md, RESOURCES.md, GUIDES.md). The website is a static site generated with Astro that parses these files at build time into typed data and renders them as navigable HTML pages.

The interactive graph on the homepage is a D3 force simulation rendering all 61 nodes and their relationships on a canvas.

Scope

Every node in the index passes a simple scope test: if S3 disappeared, would this entry lose its reason to exist here? This keeps the index focused on the S3 and object storage ecosystem rather than becoming a general data engineering reference.