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retrieval-qa

retrieval-qa

Use DeepPavlov retrieval, ranking, FAQ, SQuAD, ODQA, and KBQA workflows with correct config, data, index, and input/output choices.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: retrieval-qa description: "Use DeepPavlov retrieval, ranking, FAQ, SQuAD, ODQA, and KBQA workflows with correct config, data, index, and input/output choices." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

retrieval-qa

Use this sub-skill when a DeepPavlov task involves questions, contexts, documents, document IDs, ranking scores, FAQ categories, answer spans, ODQA pipelines, or Wikidata-style KBQA queries.

Route quickly

Start here

  1. Choose the workflow family in references/model-catalog.md: doc_retrieval, ranking, squad, odqa, kbqa, or faq.
  2. Prepare the required local data/index layout with references/data-and-indexing.md.
  3. For a safe local document-retrieval template, generate a two-document config with scripts/tiny_retrieval_config.py.
  4. Diagnose retrieval/QA-specific failures with references/troubleshooting.md before escalating to root troubleshooting.

Decision hints

  • Use squad when every question has an explicit context batch.
  • Use odqa when the user supplies only questions and expects retrieval plus answer extraction over a document collection.
  • Use doc_retrieval when the deliverable is document IDs/titles/scores rather than answer spans.
  • Use ranking for response ranking or KBQA relation/path ranking; route ordinary classifiers to text-models.
  • Use kbqa for Wikidata-style entity/relation/query generation outputs.
  • Use faq for fastText/logistic-regression FAQ intent/category lookup or simple CSV FAQ corpora.

Do not reopen the original repository checkout for runtime guidance; use the bundled references and scripts in this sub-skill tree.

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