Guide-yakabatana mibvunzo · Pakati Nhanho

Agenti RAG Quiz

Understand how agentic retrieval systems choose sources, decompose questions, assess evidence, and manage retrieval cost.

Nzira dzekutungamira dzinoenderanaAgent RAG
Mubvunzo 1 ye 8

Compared with a simple single-shot retrieve-and-generate baseline, what can agentic RAG add?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  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. Agent RAG inobata sei mubvunzo wakaoma we-multi-hop?
    • Inoramba kupindura
    • Inogona kutyora mubvunzo kuita midiki-mibvunzo uye kutora kune yega yega
    • Inogara ichipindura kubva mundangariro chete
    • Inodzima mubvunzo
  3. Mune agent RAG, maretriever anotsanangurwa zvakanyanya sechii kune mumiririri?
    • Zvisina kushandiswa kumashure maitiro
    • Mhinduro yekupedzisira
    • Zvishandiso izvo mumiririri anogona kusarudza kufona
    • Rudzi rwesefa yemufananidzo
  4. Chii chinonzi 'grading' nhanho inoitei muagetic RAG?
    • Inopa mushandisi zvibodzwa
    • Inodzima chitoro chevector
    • Inoshandura mhinduro
    • Inosefa kunze zvisina basa zvakadzoserwa machunks pamberi pechizvarwa
  5. Ndeupi mutengo mukuru weagent RAG uchienzaniswa neRAG imwe chete?
    • Mamwe mafoni emhando uye yepamusoro latency
    • Haikwanise kushandisa vector chitoro
    • Inorasikirwa nekururama kwese
    • Hazvidi compute
  6. Ndeipi mamiriro akanyatsokodzera agent RAG?
    • Kudzokorora mazwi chaiwo emushandisi
    • Kuendesa mubvunzo pakati pezvinyorwa zvemukati, webhu, uye SQL dhatabhesi sezvinodiwa
    • Kugadzira zvinyorwa zvisina kurongeka
    • Kudzvanya faira remufananidzo
  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