# AI docs

**Source:** https://promtable.com/glossary/ai-docs

> AI docs is the documentation category where AI-native features (semantic search, Q&A chat, auto-summary, code-example generation) are first-class — Mintlify AI, ReadMe AskAI, GitBook AI, Algolia AI Search are 2026 leaders.

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AI docs is the documentation category where AI-native features (semantic search, Q&A chat, auto-summary, code-example generation) are first-class — Mintlify AI, ReadMe AskAI, GitBook AI, Algolia AI Search are 2026 leaders.

Traditional docs gave you full-text search + linked TOCs. AI docs ship: semantic search (find by meaning, not keyword), Q&A chat (ask a question, get an answer with source citations), code-example generation (give me a Python example for this endpoint), summarization (TLDR of long pages), per-user history. Engineering: pages are embedded into a vector index, queries fetched + reranked, LLM generates the answer with citation. Production gotchas: citations must actually back the answer ([[citation-extraction]]), private / paywalled docs need auth-aware retrieval, multi-version docs need version filtering. AI docs are table-stakes for 2026 dev-tool launches — devs expect to chat with docs the same way they chat with ChatGPT.

## When to use

- Developer-facing docs of any size.

## Common mistakes

- Skipping citation — users can't trust generated answers.
- No version filtering — old version's answers leak into new version's Q&A.

## Related terms

- [search-grounded-generation](https://promtable.com/glossary/search-grounded-generation)
- [citation-extraction](https://promtable.com/glossary/citation-extraction)
- [ai-search-engine](https://promtable.com/glossary/ai-search-engine)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/glossary/ai-docs
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