InayofuataMwongozo unaofuata
Hati ya Kliniki ya Abridge
Makampuni
MWONGOZO wa Makampuni
Kielelezo cha Lama
LlamaIndex is a data framework for connecting LLM applications to source documents.
Sikiliza mwongozo huuInaonyeshwa na AI · ~1 min
Katika ukurasa huu1 dakika kusoma
Muhtasari
Its components support document parsing into Nodes, indexing and retrieval, optional postprocessing, and response synthesis. The result depends on the chosen sources, index, retrieval settings, and model.
Dive ya kina
LlamaIndex separates indexing and querying concerns. Documents can be parsed into Nodes; a vector-store index stores Nodes with embeddings and retrieves similar items. A query engine can then postprocess retrieved Nodes and synthesize an answer. For complex multi-document questions, SubQuestionQueryEngine can generate subquestions and combine the resulting responses. Evaluation tools include retrieval metrics and response-faithfulness checks.
Utekelezaji wa Ulimwengu Halisi
Parse a collection of documents into Nodes that represent chunks of source text.
Use a vector-store index to retrieve top-k similar Nodes for a query.
Decompose a comparison question into subquestions across several query engines, then synthesize their responses.
Evaluate retrieval with expected relevant Node IDs and inspect response faithfulness against source material.
Mustakabali wa LlamaIndex
Select retrieval and synthesis components based on the data and evaluation task. Measure both whether relevant Nodes were found and whether the answer is supported by them; framework defaults should be validated on the intended corpus.
Kuiweka katika vitendo
Kwa nini ni muhimu
- Mkakati wa muuzaji. Ramani za barabara za wachuuzi huathiri vipengele ambavyo timu yako inaweza kuunda baadaye.
- Gharama na bajeti. Masharti ya kibiashara na chaguzi za kupeleka huathiri gharama na hatari ya muda mrefu.
- Hatari na usalama. Vivutio vya kampuni hutengeneza chaguo-msingi za bidhaa, mkao wa usalama na uwazi.
Jihadharini na
- Matangazo ya uzinduzi yanaweza kushinda uthabiti katika utendakazi halisi wa uzalishaji.
- Bei za API au mabadiliko ya sera yanaweza kuvunja mawazo mara moja.
- Utegemezi wa muuzaji mmoja huongeza gharama za kufunga na kuhama.
Hatua zinazofuata
- Tathmini watoa huduma kwa kutumia kazi na seti zako za data.
- Kagua faragha, usalama na masharti ya kisheria kabla ya kuunganishwa.
- Dumisha mpango mbadala kwa miundo au wachuuzi.
- Fuatilia maelezo ya toleo ili mabadiliko ya ramani ya barabara yasiwashangaze timu.
Endelea Kuchunguza
Jarida halali
Pata taarifa ya kila siku ya AI
Hadithi tatu za AI zilizothibitishwa kila asubuhi ya wiki, zimetengenezwa kwa Kiingereza rahisi. Bila malipo daima, hakuna matangazo.
Barua pepe moja kila siku ya wiki. Jiondoe kwa bonyeza moja. Hatutauza au kushiriki anwani yako.
Jijaribu mwenyewe
Take the LlamaIndex quiz
Maoni ya haraka juu ya kila jibu, na cheti kinachoweza kushirikishwa na kitambulisho kinachoweza kuthibitishwa baada ya kupita kozi.
Changia elimu ya AI bila malipo. AI Understanding ni 501(c)(3) isiyo na faida — hakuna matangazo, hakuna kizuizi cha malipo, daima. Toa mchango
Maswali yanayoulizwa mara kwa mara
What is LlamaIndex?
LlamaIndex is a data framework for connecting LLM applications to source documents. Its components support document parsing into Nodes, indexing and retrieval, optional postprocessing, and response synthesis. The result depends on the chosen sources, index, retrieval settings, and model.
LlamaIndex imeundwa kufanya nini kimsingi?
LlamaIndex ni mfumo wa data uliobobea katika RAG: kumeza, kuorodhesha, na kuuliza hati ili LLM zijibu kulingana na data yako.
LlamaIndex iliitwaje hapo awali ilipozinduliwa?
Iliundwa na Jerry Liu, ilizinduliwa kama Kielezo cha GPT mwishoni mwa 2022 kabla ya kubadilishwa jina na kuwa LlamaIndex.
Kwa nini urejeshaji unahitajika badala ya kubandika tu kila kitu kwenye arifa?
Madirisha ya muktadha yana kikomo na miundo haijui faili zako za faragha, kwa hivyo RAG hurejesha tu sehemu zinazofaa zaidi kujumuisha.
Katika bomba la LlamaIndex, ni nini kinachoundwa kutoka kwa kila kipande cha hati ili kuwezesha utaftaji wa kisemantiki?
Kila nodi/chunk hubadilishwa kuwa upachikaji wa vekta inayonasa maana yake, kuwezesha urejeshaji kulingana na ufanano.
LlamaParse imejengwa kushughulikia nini?
LlamaParse ni kichanganuzi cha hati kilichoratibiwa kwa PDF na jedwali changamano za ulimwengu halisi, kuboresha ubora wa data kabla ya kuorodhesha.
Endelea kujifunza
Miongozo inayohusiana
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