Overview
LlamaIndex ndeye yakavhurika-sosi data data inobatanidza mamodheru makuru emitauro kune yako yakavanzika uye yekunze data. Iyo inonyanya kudzoreredza-yakawedzera chizvarwa (RAG), zvichiita kuti zvive nyore kupinza, index, uye magwaro emibvunzo kuitira kuti LLM igone kupindura mibvunzo yakavakirwa paruzivo rwako.
LlamaIndex inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Yakagadzirwa naJerry Liu uye yakatanga kunzi GPT Index payakatangwa mukupera kwa2022, LlamaIndex inotarisa pane 'data' hafu yeLLM application. Nekuti mamodheru ane mashoma emamiriro ekunze windows uye pasina ruzivo rwemafaira ako akavanzika, LlamaIndex inopa pombi yekuvharisa iyo gap: zvinobatanidza (kuburikidza neLlamaHub) kutakura data kubva kumaPDF, Notion, Slack, dhatabhesi, uye mazana ezvinyorwa; iyo data inoputirwa mumanode uye yakamisikidzwa mune vector indexes; uye injini yemubvunzo inotora machunks akakodzera kudyisa modhi panguva yekupindura. Iyo inotsigirawo zvimwe zvimiro zvepamberi senge pfupiso indexes, ruzivo magirafu, uye akawanda-magwaro ejenti. Iyo kambani yakaburitsa LlamaParse, yakasimba gwaro parser kune yakaoma maPDF uye matafura, uye LlamaCloud yekugonesa kupinza. Nepo LangChain iri yakafararira orchestration toolkit, LlamaIndex inonyanya kukwenenzverwa kutsvaga nekutora pamusoro pe data.
Technical Insight
Iyo pombi inopinza, index, tora, synthesize. Zvinyorwa zvakakamurwa kuita node, imwe neimwe ichishandurwa kuita vector embedding inotora semantic zvinoreva. Panguva yekubvunza, mubvunzo wemushandisi unoiswa uye uchienzaniswa nemavheta akachengetwa kuti uwane machisi ari pedyo; iwo chunks pamwe nemubvunzo unoumba kukurumidza kutumirwa kuLLM. LlamaIndex inopawo maitiro emubvunzo, kudzoreredza chinzvimbo, uye akarongwa ma indexes kuitira kudzoreredza zvikero kupfuura kusaziva kufanana kutsvaga.
Mastering LlamaIndex
LlamaIndex ndeye yakavhurika-sosi data data inobatanidza mamodheru makuru emitauro kune yako yakavanzika uye yekunze data. Iyo inonyanya kudzoreredza-yakawedzera chizvarwa (RAG), zvichiita kuti zvive nyore kupinza, index, uye magwaro emibvunzo kuitira kuti LLM igone kupindura mibvunzo yakavakirwa paruzivo rwako. LlamaIndex inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata LlamaIndex semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, jekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa LlamaIndex zvinoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kambani yezvemitemo inoratidzira zviuru zvezvibvumirano kuitira kuti magweta abvunze mibvunzo yakajeka-chiRungu uye awane mhinduro dzakapihwa kune chaiwo clause.
Kambani inobatanidza LlamaIndex kune yayo yemukati wiki uye Slack kuitira kuti vashandi vabvunze mubatsiri mumwe chete akadzikama pane kutsvaga nemaoko.
Chikwata chezvemari chinoshandisa LlamaParse kubvisa matafura kubva kune yakaoma PDF mishumo, yobva yabvunza nhamba kuburikidza neLLM.
Muongorori anovaka indekisi yeruzivo-girafu pamusoro pemapepa esainzi kutsvaga kuti pfungwa dzinobatana sei pamagwaro mazhinji.
Maitiro Ekuita
LlamaIndex mukuita
Kambani yezvemitemo inoratidzira zviuru zvezvibvumirano kuitira kuti magweta abvunze mibvunzo yakajeka-chiRungu uye awane mhinduro dzakapihwa kune chaiwo clause.
Kambani yezvemitemo inonongedza zviuru zvezvibvumirano kuitira kuti magweta abvunze mibvunzo yeChirungu-chiRungu uye awane mhinduro dzakapihwa kune chaiwo clause Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
LlamaIndex mukuita
Kambani inobatanidza LlamaIndex kune yayo yemukati wiki uye Slack kuitira kuti vashandi vabvunze mubatsiri mumwe chete akadzikama pane kutsvaga nemaoko.
Kambani inobatanidza LlamaIndex kune yayo yemukati wiki uye Slack kuitira kuti vashandi vabvunze mubatsiri mumwe chete akadzikama pane kutsvaga nemaoko Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
LlamaIndex mukuita
Chikwata chezvemari chinoshandisa LlamaParse kubvisa matafura kubva kune yakaoma PDF mishumo, yobva yabvunza nhamba kuburikidza neLLM.
Chikwata chezvemari chinoshandisa LlamaParse kubvisa matafura kubva kune yakaoma PDF mishumo, yobva yabvunza nhamba kuburikidza neLLM Teams inowanzowana mibairo iri nani kana ichinge yatsanangudza mhando yekumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
LlamaIndex mukuita
Muongorori anovaka indekisi yeruzivo-girafu pamusoro pemapepa esainzi kutsvaga kuti pfungwa dzinobatana sei pamagwaro mazhinji.
Muongorori anovaka indekisi yeruzivo-girafu pamusoro pemapepa esainzi kuti atsvage kuti pfungwa dzinobatana sei mumagwaro mazhinji Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.