Ubuyobozi bwa tekiniki

Gusubirana-Byongerewe Igisekuru (RAG)

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

2 min somaIbiherutse kuvugururwa

Incamake

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.

Ibyingenzi byingenzi

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

Kwibira cyane

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 Include questions with no answer in the collection and conflicting or outdated documents.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.

Ubushishozi

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.

Ingaruka z'Ingamba

Igiciro na bije

Ibyemezo byubwubatsi bitwara imikorere nigiciro cyimikorere kumyaka.

Ibyemezo bisobanutse

Ubuhanga bwa tekinike bufasha amakipe guhitamo umurongo ukwiye, ntabwo ari shyashya gusa.

Kugenzura ubuziranenge

Guhitamo neza bya injeniyeri bigabanya ibintu byizewe mubikorwa.

Gushyira mu bikorwa Isi

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

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

Ingaruka & Kurinda

Gutezimbere igipimo kimwe gishobora guhisha intege nke za sisitemu.

Ibikorwa Remezo no kubungabunga akenshi usanga bidahabwa agaciro.

Icyuho cyumutekano no kwitegereza birashobora kwiyongera uko sisitemu igenda igorana.

Igishushanyo mbonera

1

Sobanura ubukererwe, ubuziranenge, nigiciro cyibiciro mbere yo kubishyira mubikorwa.

2

Ibipimo byerekana umutwaro ufatika hamwe namakuru yimiterere.

3

Gukurikirana ibikoresho kubikosa, drift, ningaruka zabakoresha.

4

Tegura inzira yo gusubiza ibyabaye mbere yo gupima.

Inkomoko no gusoma

Komeza Ubushakashatsi

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Ubuyobozi bukurikira

Ibishushanyo RAG hamwe no Gushakisha-Byateguwe

Ibibazo bikunze kubazwa

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.