Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska LlamaIndex

Sahami sida LlamaIndex u kala saaro oo u tuso xogta, u soo ceshano Nodes-ka khuseeya, u habeeyo jawaabaha, oo u qiimeeya tayada soo celinta.

Wadooyinka haga ee la xidhiidhaLlamaindex
Su'aal 1 ee 8

Waa maxay LlamaIndex ugu horrayn loogu talagalay inay qabato?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay LlamaIndex ugu horrayn loogu talagalay inay qabato?
    • Ku xidh LLM-yada xogtaada ee jiilka la kordhiyay
    • Tababar moodooyinka aasaaska cusub
    • Samee sawiro iyo muuqaal
    • Maamul kooxaha GPU ee daruuraha
  2. Maxay LlamaIndex markii hore la odhan jiray markii la bilaabay?
    • DataChain
    • Tusmada GPT
    • VectorBase
    • LlamaHub
  3. Waa maxay sababta dib u soo celinta loogu baahan yahay halkii wax walba lagu dhejin lahaa isla markiiba?
    • LLMs ma akhriyi karaan faylasha qoraalka
    • Ku-xidhiddu waa sharci-darro in la kaydiyo
    • Qaababka ayaa leh daaqadaha macnaha guud oo xaddidan mana laha aqoon xogta gaarka ah
    • Soo celinta waxay ka dhigtaa moodooyinka inay si dhakhso leh u tababaraan
  4. Dhuumaha LlamaIndex, maxaa laga abuuray qayb kasta oo dukumeenti ah si loo suurtageliyo raadinta macnaha?
    • Faylka ZIP oo la cufan
    • Safka miiska SQL
    • Sawir qaade
    • Wax-soo-saarka vector
  5. Waa maxay LlamaParse loo dhisay in lagu qabto?
    • Falanqaynta PDF-yada adag, miisaska, iyo dukumentiyada la dhuuqo
    • Kala saarida koodhka isha ee geedaha syntax
    • Kala saarida codka qoraalada
    • Baarista xirmooyinka shabakada
  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