Teknik KILAVUZ

Alma-Artırılmış Nesil (RAG)

Retrieval-augmented generation, or RAG, supplies retrieved material to a generative model when answering a request.

2 min readSon güncelleme

Genel Bakış

It can give the system access to relevant documents without retraining the model for every document change. Retrieval does not guarantee that the final answer is supported or correct.

Key takeaways

  • Keep provenance and document context.
  • Enforce permissions before retrieval results reach the model.
  • Evaluate retrieval and generation independently.

Derin Dalış

A typical pipeline collects documents, preserves their provenance, creates searchable representations, retrieves candidates for a query, and passes selected evidence to a model. Some systems combine keyword and semantic search or rerank results before generation. Each stage can introduce omissions or errors. Document preparation determines what evidence can be found. Preserve headings, dates, tables, and source identifiers when dividing content into passages. A passage separated from an exception or footnote can convey the wrong meaning even when the words are copied correctly. Apply access controls before evidence reaches the model. A search result that is semantically relevant may still belong to a document the requesting user is not allowed to see. Treat instructions inside retrieved documents as untrusted content rather than authority to change the application’s behavior. Evaluate retrieval and answering separately. Check whether the needed evidence appears in the candidate set, whether the selected context retains it, and whether the answer uses it faithfully. Include questions with no answer in the collection and conflicting or outdated documents. The system needs an explicit way to say that evidence is insufficient.

Teknik Bilgi

Adding more context can introduce contradictory or irrelevant material. The objective is useful, authorized evidence, not the largest possible prompt.

Find where a grounded answer fails

  1. Construct two policies: an expired version allows returns for 30 days; the current version allows 14 days.
  2. If retrieval returns only the old policy, the failure is upstream of generation. If both are retrieved but the answer chooses 30 days, investigate context selection and evidence use.
  3. Add the effective-date conflict to both retrieval and answer evaluations.

The invented example separates two causes that would otherwise look like the same wrong answer.

Stratejik Etki

Maliyet ve bütçe

Mimari kararlar yıllarca performansı ve işletme maliyetini etkiler.

Daha net kararlar

Teknik eğitim, ekiplerin yalnızca en yenisini değil, doğru yığını seçmesine de yardımcı olur.

Quality control

Daha iyi mühendislik seçenekleri, üretimdeki güvenilirlik olaylarını azaltır.

Gerçek Dünya Uygulaması

Answer a support question using the current policy and its effective date.

Return source passages alongside an explanation so a reader can verify it.

Riskler ve Korkuluklar

Bir kıyaslamayı optimize etmek daha geniş sistem zayıflıklarını gizleyebilir.

Altyapı ve bakım maliyetleri genellikle hafife alınır.

Sistemler karmaşıklaştıkça güvenlik ve gözlemlenebilirlik boşlukları büyüyebilir.

Uygulama Yol Haritası

1

Uygulamadan önce gecikmeyi, kaliteyi ve maliyet hedeflerini tanımlayın.

2

Gerçekçi yük ve veri koşulları altında kıyaslama yapın.

3

Hatalar, sapmalar ve kullanıcı etkisi için cihaz izleme.

4

Ölçeklendirmeden önce geri alma ve olay müdahale yollarını hazırlayın.

Sources and further reading

Keşfetmeye Devam Edin

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Spekülatif RAG ve Erişimle Artırılmış Taslak Hazırlama

Sık sorulan sorular

Does RAG eliminate hallucinations?

No. Retrieval can miss evidence, return misleading material, or be used incorrectly by the generator. The final answer still needs evaluation.