Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya LlamaIndex

Chunguza jinsi LlamaIndex inavyochanganua na kuorodhesha data, kupata Nodi zinazofaa, kuunganisha majibu, na kutathmini ubora wa urejeshaji.

Njia za mwongozo zinazohusianaKielelezo cha Llamaindex
Swali 1 ya 8

LlamaIndex imeundwa kufanya nini kimsingi?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. LlamaIndex imeundwa kufanya nini kimsingi?
    • Unganisha LLM kwa data yako kwa ajili ya uzalishaji ulioboreshwa wa kurejesha
    • Funza miundo mipya ya msingi
    • Tengeneza picha na video
    • Dhibiti makundi ya GPU katika wingu
  2. LlamaIndex iliitwaje hapo awali ilipozinduliwa?
    • DataChain
    • Kielezo cha GPT
    • VectorBase
    • LlamaHub
  3. Kwa nini urejeshaji unahitajika badala ya kubandika tu kila kitu kwenye arifa?
    • LLM haziwezi kusoma faili za maandishi
    • Upachikaji ni kinyume cha sheria kuhifadhi
    • Miundo ina madirisha machache ya muktadha na hakuna ujuzi wa data ya kibinafsi
    • Urejeshaji hufanya miundo ifanye mazoezi haraka
  4. Katika bomba la LlamaIndex, ni nini kinachoundwa kutoka kwa kila kipande cha hati ili kuwezesha utaftaji wa kisemantiki?
    • Faili ya ZIP iliyobanwa
    • Jedwali la safu ya SQL
    • Picha ya skrini
    • Upachikaji wa vekta
  5. LlamaParse imejengwa kushughulikia nini?
    • Inachanganua PDF, majedwali na hati changamano za kumeza
    • Kuchanganua msimbo wa chanzo katika miti ya sintaksia
    • Inachanganua sauti kuwa manukuu
    • Kuchanganua pakiti za mtandao
  6. Where do LlamaIndex node postprocessors run in the documented query pipeline?
    • Before documents are parsed or indexed
    • After retrieval and before response synthesis
    • Only after a final answer is returned
    • Between model pretraining and tokenizer training
  7. What does LlamaIndex’s SubQuestionQueryEngine do with a complex multi-source question?
    • Converts every document into a single unsearchable string
    • Runs only a fixed keyword lookup with no query planning
    • Creates subquestions for relevant data sources and synthesizes the intermediate responses
    • Fine-tunes the language model on the documents
  8. In a LlamaIndex query pipeline, what is the response synthesizer responsible for?
    • Choosing the original PDF files before ingestion
    • Training the embedding model from scratch
    • Replacing the retriever’s index with a file system
    • Combining the query and retrieved Nodes to produce a response