Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

feat: add AI-assisted documentation guide to library search

Aperta
  • Qualcosa non va?
#118 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
30/100
Tipo di issue
Funzionalità
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
javascript, json
Ambito
ai, backend, build-system, documentation, frontend, search, testing

Direzione di ricerca

Start by reviewing the build-time library search index in #114 and the MCP documentation exposure in #117, then trace how kb-docs artifacts feed the search index and MCP document discovery. Done means a versioned source manifest, validation failures for missing or malformed data, grounded guide answers with citations, compatible identifiers, and automated tests for validation and failure cases.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

enhancement

Feature Description

Turn Library landing-page search into an AI-assisted documentation guide. Users should ask natural-language questions and receive grounded answers with relevant documentation links and cited sources, rather than only keyword-matched results.

Documentation publishers must provide supplemental machine-consumable source metadata/content so search indexing and MCP clients can retrieve reliable source material without scraping rendered HTML.

Problem / Opportunity

Keyword search helps users find known titles, but does not guide users who describe an outcome, problem, or concept in natural language. Current rendered documentation is also unsuitable as a stable source interface for AI and MCP consumers.

A shared structured source contract lets Library UI and MCP server use same canonical documentation data.

Acceptance Criteria

  • Library landing page provides AI-assisted guide mode alongside existing search experience.
  • User can submit natural-language documentation questions.
  • Guide returns answer grounded only in indexed documentation sources.
  • Every answer shows links or citations to supporting documentation pages.
  • Documentation artifacts support supplemental machine-consumable source data.
  • Source contract defines stable document identifiers, content/source locations, title, route, description, tags, MIME type, and modification metadata.
  • Contract format and validation are documented; JSON is preferred unless YAML provides a clear contract advantage.
  • Build validates structured source data and incorporates it into generated search/MCP indexes.
  • Missing, malformed, or stale source data produces actionable build validation failures.
  • Search index, AI guide, and MCP server consume compatible stable identifiers and metadata.
  • Automated tests cover source-contract validation, grounded guide responses/citations, and failure cases.

Proposed Solution

Define versioned structured documentation-source manifest shipped with kb-docs artifacts. Generate catalog/search data from manifest during build. Use this shared data source for landing-page AI guide and MCP document discovery/retrieval.

Keep AI answer generation behind an interface so deployment can select model/provider without coupling artifact contract to one vendor.

Dependencies / Related

Depends on #114 — build-time library search index.
Depends on #117 — expose knowledge-base documentation through an MCP server.

Additional Context

This issue delivers guided natural-language discovery above deterministic search. It should not require scraping rendered HTML. Structured source data must remain safe for machine consumption by MCP-compatible clients and future AI integrations.

Lingua principale
JavaScript
Stelle
0
Fork
0
Merge medio
20m
PR unite (30g)
8

Preparare l'ambiente

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di AbsaOSS/knowledge-base

Tutte le issue di AbsaOSS/knowledge-base

Issue simili

Altre issue su JavaScript

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.