Aṣoju RAG adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Compared with a simple single-shot retrieve-and-generate baseline, what can agentic RAG add?
   • The agent can decide whether and how to retrieve again during the task
   • Every classic RAG system makes exactly one lookup
   • Retrieval is never used
   • The model guarantees a correct answer after one search
2. Bawo ni RAG aṣoju ṣe n kapa ibeere olona-hop ti o nira?
   • O kọ lati dahun
   • O le fọ ibeere naa sinu awọn ibeere-ipin ati gba pada fun ọkọọkan
   • O nigbagbogbo dahun lati iranti nikan
   • O paarẹ ibeere naa
3. Ni RAG aṣoju, awọn atunṣe jẹ apejuwe ti o dara julọ bi kini si oluranlowo?
   • Awọn ilana isale ti ko lo
   • Ik idahun
   • Awọn irin-iṣẹ aṣoju le yan lati pe
   • A iru aworan àlẹmọ
4. Kini igbesẹ 'fidiwọn' aṣayan ṣe ni RAG aṣoju?
   • Fi Dimegilio fun olumulo
   • Npa ile itaja fekito kuro
   • Tumọ idahun
   • Ajọ jade ti ko ṣe pataki awọn ege ti a gba pada ṣaaju iran
5. Kini idiyele akọkọ ti RAG aṣoju ni akawe si RAG-shot?
   • Awọn ipe awoṣe diẹ sii ati lairi ti o ga julọ
   • Ko le lo ile itaja fekito kan
   • O padanu gbogbo išedede
   • Ko nilo iṣiro
6. Eyi ti ohn ti o dara ju jije aṣoju RAG?
   • Echoing pada awọn ọrọ gangan olumulo
   • Ṣiṣakoṣo ibeere laarin awọn docs inu, wẹẹbu, ati data data SQL kan bi o ṣe nilo
   • Ṣiṣẹda ọrọ laileto laisi awọn orisun
   • Titari faili aworan kan
7. What role do reflection tokens play in the Self-RAG framework?
   • They encrypt documents before indexing
   • They replace all retrievers with a fixed SQL query
   • They let the model signal retrieval decisions and critique retrieved evidence or generated responses
   • They guarantee that every generated citation is correct
8. How does Adaptive-RAG choose among retrieval strategies?
   • It always performs the same number of searches
   • It skips retrieval for every multi-hop question
   • It selects sources only by document length
   • It selects a retrieval approach based on estimated question complexity