LlamaIndex
LlamaIndex ndeye yakavhurika-sosi data data inobatanidza mamodheru makuru emitauro kune yako yakavanzika uye yekunze data.
Pfupiso
It specializes in retrieval-augmented generation (RAG), making it easy to ingest, index, and query documents so an LLM can answer questions grounded in your own knowledge.
Kudzika Kwakadzika
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.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reLlamaIndex
LlamaIndex iri kukwidza stack kubva kuRAG pombi yemvura yakananga kune agent, akawanda-nhanho data workflows, uko mumiriri weLLM anogona kuronga mibvunzo pamagwaro mazhinji uye maturusi. Kudyara kwakanyanya muLlamaParse uye LlamaCloud inotaridza tarisiro pakunzwisisa kwegwaro rebhizinesi, kunyanya akashata-epasirese maPDF, matafura, uye mafomu. Sezvo mahwindo emukati achikura, tarisira nzira dzakangwara dzakasanganiswa dzinosanganisa kudzoreredza nekureba-mamiriro ekufunga pane kuvimba neimwe yega.
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.
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.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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Gaidhi rinotevera
Abridge Clinical Documentation
Mibvunzo inowanzo bvunzwa
What is 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.
Chii chinonzi LlamaIndex chakanyanya kugadzirirwa kuita?
LlamaIndex idhizaini yedata yakasarudzika muRAG: kupinza, kuisa indexing, uye kubvunza magwaro kuitira kuti maLLM apindure akavakirwa mudata rako.
LlamaIndex yakatanga kunzi chii payakatangwa?
Yakagadzirwa naJerry Liu, yakatanga seGPT Index mukupera kwa2022 isati yanzi LlamaIndex.
Nei kudzoreredza kuchidiwa pane kungonamira zvese mukukasira?
Mamiriro ekunze windows ane magumo uye mamodheru haazive mafaera ako epachivande, saka RAG inotora chete machunks akakodzera kusanganisa.
Mune pombi yeLlamaIndex, chii chinogadzirwa kubva kune yega yega chunk yegwaro kugonesa semantic kutsvaga?
Imwe neimwe node/chunk inoshandurwa kuita vector embedding inotora zvarinoreva, zvichiita kuti kufanana-kwakavakirwa kudzoreredza.
Chii chinonzi LlamaParse chakavakirwa kubata?
LlamaParse igwaro reparser rakarongedzerwa kuoma kwepasirese maPDF nematafura, inovandudza mhando yedata isati yanyora.