Atụmatụ ịchụ nta akwụkwọ
Nchicha akwụkwọ bụ otu esi ekewaa ogologo ederede ka ọ bụrụ mpekere eweghachi tupu itinye ya maka ọchụchọ ma ọ bụ RAG.
Nchịkọta
The chunk size and boundaries quietly determine retrieval quality, so getting them right often matters more than picking a fancier model.
Ime miri emi
Chunking na-atụgharị nnukwu akwụkwọ ka ọ bụrụ akụkụ nke nha nke dabara adabara ụdị agbakwunyere ma kwekọọ n'otu esi ajụ ajụjụ. Njika nchara nchara site na akara ma ọ bụ ọnụ ọgụgụ agwa na-ekewa, na-enwekarị ndakọ ya mere ahịrịokwu nke na-adọkpụ oke abụghị nwa mgbei. Nchikota nchighari na-ekewa n'usoro nke ndị na-ekewapụta (nkeji paragraf, na ahịrịokwu, wee okwu) iji kwanyere usoro okike ùgwù. Ahịrịokwu na-achịkọta ihe ọmụmụ ihe site n'itinye myirịta, na-agbaji ebe isiokwu na-agbanwe. Nchicha akwụkwọ maara nke ọma na-eso usoro ahụ n'onwe ya, kewaa na isiokwu Markdown, mkpado HTML, ma ọ bụ ọrụ koodu. Isi esemokwu bụ granularity: obere iberibe na-enye egwuregwu ziri ezi mana ọ na-efunahụ ihe gbara ya gburugburu, ebe nnukwu iberibe na-ebu ọnọdụ mana ọ dabara adaba ma nwee ike gafere oke akara. Ọtụtụ pipeline na-echekwa obere mkpirisi maka iweghachite ma na-enye ụzọ ndị nne na nna gbasaa na ihe nlereanya.
Nghọta nka nka
Mkpokọta bụ aghụghọ ntụkwasị obi kachasị mfe: ikwugharị ihe dị ka pasent 10 ruo 20 nke tokens n'etiti mkpirisi dị n'akụkụ na-eme ka eziokwu gbawara n'ofe oke ka na-apụta na ọ nweghị ihe ọ bụla na opekata mpe otu. Semantic chunking na-aga n'ihu site n'itinye ahịrịokwu ọ bụla na tụọ anya cosine n'etiti ndị agbata obi, wee bepụ ebe anya dị n'elu ọnụ ụzọ. Nke a na-ewepụta mkpọkọ ọnụ nke ogologo agbanwe agbanwe, na-eri mgbakwunye mgbakwunye n'oge ndenye aha.
Mmetụta atụmatụ
Ọsọ na ọnụ ọgụgụ
Usoro ọrụ asụsụ nwere ike ịga ngwa ngwa n'achụghị nkwụsi ike.
Nweta na iru
Ọ na-agbasawanye ohere n'ofe asụsụ na ụdị nzikọrịta ozi.
Mkpebi doro anya
Ndị otu nwere ike itinyekwu oge na ikpe ebe akpaaka na-ejikwa nkwughachi.
Ọdịnihu nke atụmatụ ịchụ akwụkwọ
Chunking na-agbanwe site na usoro nhazi nke edoziri gaa n'ihe na-agbanwe agbanwe na mara ihe nlereanya. Na-abịa nso dị ka ịhịa aka n'oge na-ebu ụzọ tinye akwụkwọ ahụ dum, emesia vectors chunk ka akụkụ nke ọ bụla na-ejigide ọnọdụ zuru ụwa ọnụ. Ihe nleba anya na-ahụ maka nhazi na-edobe tebụl, isi okwu na ọnụ ọgụgụ kama imeziwanye ha ka ọ bụrụ ederede mkpọtụ. Ka windo ndị dị na ya na-etolite, ụfọdụ pipeline na-eweghachite obere mkpirisi ole na ole ma buru ibu, mana chunking smart na-adị mkpa maka ọnụ ahịa, latency, na nke ziri ezi kama ịla n'iyi.
Mmejuputa n'ezie n'ụwa
Ịkewa akwụkwọ ntuziaka ngwaahịa nwere ibe 200 na isi ngalaba ya ka ajụjụ gbasara 'okwu akwụkwọ ikike' weghachiri ngalaba ahụ, ọ bụghị akwụkwọ ahụ dum.
Iji ntukota ahịrịokwu mere nkọwa nke gbasara ngwụcha otu paragraf na mmalite nke na-esote ga-anọ n'ozuzu ya ma ọ dịkarịa ala otu mkpọ.
N'ụzọ dị iche iche na-akpachapụ akwụkwọ nchọcha ka usoro mkparịta ụka na mkparịta ụka nsonaazụ wee bụrụ nkewa, akụkụ akụkụ nke jikọtara ọnụ.
Ịchọta koodubase site na ọrụ ma ọ bụ oke klaasị ka ajụjụ onye nrụpụta weghachi nkeji zuru oke, enwere ike ịgba ọsọ karịa ọrụ ọkara.
Ihe ize ndụ & okporo ụzọ nche
Eziokwu ndị e chepụtara echepụta nwere ike jiri nwayọ tinye akụkọ, nkwado nkwado, ma ọ bụ nsonaazụ nyocha.
Mmetụta ngwa ngwa nwere ike ịmepụta nsonaazụ na-ekwekọghị ekwekọ n'ofe arịrịọ ndị yiri ya.
Enwere ike ikpughe data ederede nwere mmetụta ma ọ bụrụ na njikwa ohere adịghị ike.
Map mmejuputa
Kọwaa usoro mmepụta, ụda, na ụkpụrụ ịdịmma tupu ibugharị.
Weghachite nzaghachi site na isi mmalite ntụkwasị obi mgbe ọ bụla izi ezi dị mkpa.
Debe ebe nleba anya mmadụ maka mpụta dị elu.
Sochie ụkpụrụ ọdịda ma na-azụghachi mkpali ma ọ bụ usoro ọrụ mgbe niile.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ntinye akwụkwọ Hypothetical HyDE
Ajụjụ a na-ajụkarị
What is Document Chunking Strategies?
Nchicha akwụkwọ bụ otu esi ekewaa ogologo ederede ka ọ bụrụ mpekere eweghachi tupu itinye ya maka ọchụchọ ma ọ bụ RAG. Nha nha na oke na-eji nwayọ na-ekpebi ogo iweghachite, yabụ ị nweta ha nke ọma na-adịkarị mkpa karịa ịhọrọ ụdị fancier.
Kedu ihe kpatara a na-ejikarị agbakwunye nchikota n'etiti mkpọ dị n'akụkụ?
Mkpokọta na-emegharị iberi nke token n'etiti ndị agbata obi ka ozi straddling nkewa ghara bee na ọkara wee funahụ.
Gịnị ka semantic chunking na-eji kpebie ebe a ga-ekewa?
Semantic chunking na-etinye ahịrịokwu na nkwụsịtụ ebe anya cosine dị n'etiti ndị agbata obi spikes, na-emepụta iberibe ihe na-adakọ ọnụ.
Kedu ihe bụ isi azụmaahịa dị n'etiti obere obere na nnukwu chunks?
Obere iberibe dakọtara nke ọma mana na-ewepụ ihe gbara ya gburugburu, ebe nnukwu iberibe na-echekwa ihe gbara ya gburugburu mana ha nwere ike mebie mkpa ya wee kụọ oke akara.
Kedu ka nchigharị anya na-esi ekpebi ebe a ga-agbaji ederede?
Nchikota ntughari na-agbadata ndepụta nke ndị na-ekewapụta iji kwanyere usoro okike ugwu ka ọ na-anọ n'ime oke ebumnuche.
Kedu ihe bụ echiche dị n'azụ usoro iweghachi akwụkwọ 'obere-to-ibu' ma ọ bụ nne na nna-akwụkwọ?
Ị dakọtara na obere iberibe maka nkenke, wee gbasaa gaa na ederede nne na nna gbara ya gburugburu ka ihe nlereanya ahụ wee nweta gburugburu.