Vector search llms.txt

Vector search publishes its llms.txt at https://weaviate.io/llms.txt. This file provides a structured, markdown-formatted index of Vector search's documentation that AI systems can consume to understand the project's APIs, guides, and references.

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Vector search's documentation so it can provide better code suggestions and answers about Vector search.

Vector search's llms.txt contains 13 sections and 30 documentation links in 35.8 KB (~9.1k tokens). Key sections include TL;DR, Latest versions (recommended), Table of contents, The Weaviate Stack, Ideal Use Cases, Architecture / Scaling.

The concise llms.txt index is approximately 9.1k tokens (35.8 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

Note: We’ll keep these values updated manually for now, and automate later to prevent staleness.. Vector search's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Vector search.

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.