Dukumeentiga Waalidka iyo Kediska Soo Celinta Yar-ilaa-weyn

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay ganacsiga-off-ka-soo-baxa ah ee udub dhexaad u ah soo celinta yar-ilaa-weyn?
   • Embedding models are too slow for large documents
   • Small chunks match precisely but lack context, while large chunks carry context but match poorly
   • Vector databases cannot store documents longer than one page
   • Language models can only read one chunk per request
2. Nidaamka yar-ilaa-weyn, maxaa la dhex-geliyaa oo la baaraa wakhtiga su'aasha?
   • Small child chunks
   • Whole parent documents only
   • Document titles only
   • The model's previous answers
3. Haddii saddex qaybood oo carruur ah oo la soo saaray ay dhammaantood ka tirsan yihiin isla qaybta waalidka, maxaa la gudboon nidaamku?
   • Send all three children and the parent
   • Discard the children because they overlap
   • Send the shared parent once
   • Send only the lowest-scoring child
4. Sidee LangChain's ParentDocumentRetriever u kaydiyaa labada heer ee qoraalka?
   • Both levels in a single vector index with no links
   • Parents in the vector store and children discarded
   • Children in a relational table, parents in the model's weights
   • Children in a vector store and parents in a separate document store
5. Waa maxay soo celinta jumlada-daaqadda?
   • Only the single matched sentence
   • The matched sentence plus a fixed number of neighboring sentences
   • A random sample of sentences from the document
   • The document's title and summary
6. What does auto-merging retrieval do when enough leaf chunks from the same parent node are retrieved?
   • It deletes the parent node from the index
   • It asks the user which leaf to keep
   • It replaces the leaf chunks with their shared parent node
   • It re-embeds the leaves as one vector
7. In which situation does small-to-big retrieval help the least?
   • When the documents are already short
   • When documents are long manuals with sections
   • When meaning depends on surrounding definitions
   • When several matches come from one contract section
8. Why store a parent_id in each child chunk's metadata?
   • So the model can be fine-tuned on parent IDs
   • To make embeddings smaller
   • To hide parents from the user
   • So expanding a child to its parent is a cheap key-value lookup instead of another search