Optimizing Your Codebase Documentation for RAG Models

Retrieval-Augmented Generation (RAG) is the primary method LLMs use to query fresh, external information. When a user asks an assistant like Claude or Gemini about your technical API, the engine chunkifies your document pages, stores them as vectors, and matches them to user prompts.

Designing RAG-friendly Documentation

• Use Heading Context: Put descriptive words in heading titles. RAG parsers use headings to split chunks, and a heading like Pricing Specs for Developer Plans retains much more context than Pricing.

• Use Tables for Specs: Key spec lists, comparison parameters, and API fields are best parsed when served in standard Markdown tables.

• Maintain Glossary Terminology: Avoid switching names for products or parameters within the same page.