LLM Support
TypeGraph documentation is available in formats optimized for Large Language Models (LLMs) following the llms.txt specification. All files are generated from the same source docs as the website.
Recommended Retrieval Order
Section titled “Recommended Retrieval Order”For coding agents, use these files progressively:
- Start with
/llms-small.txtfor implementation and debugging tasks. - Use
/llms-full.txtonly when you need deep reference content. - Load
/_llms-txt/examples.txtonly when you need full end-to-end patterns.
Available Files
Section titled “Available Files”| File | Purpose | Size |
|---|---|---|
/llms.txt | Index with page titles, descriptions, and links | Small |
/llms-small.txt | Core docs for implementation and debugging tasks | Medium |
/llms-full.txt | Complete documentation in a single file | Large |
/_llms-txt/examples.txt | Complete application examples | Medium |
Copy-Paste Agent Instructions
Section titled “Copy-Paste Agent Instructions”Use this in repository-level agent instruction files (AGENTS.md,
CLAUDE.md, etc.):
TypeGraph (`@nicia-ai/typegraph`) is a TypeScript-first embedded knowledge graphlibrary with typed nodes, edges, queries, and schema management over SQLite andPostgreSQL backends.
When working with TypeGraph code (graph definitions, node/edge schemas, storeoperations, query builder, backend setup, or migrations):
1. Load https://typegraph.dev/llms-small.txt first.2. Use https://typegraph.dev/llms-full.txt only for deep API/reference lookup.3. Load https://typegraph.dev/_llms-txt/examples.txt only for end-to-end implementation patterns.4. Prefer current API docs over inferred behavior from old snippets.