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Indexu Llama
LlamaIndex is a data framework for connecting LLM applications to source documents.
Déglul tegtal biiIA-nettali · ~1 min
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Résumé
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.
Plongeur bu xóot
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.
Doxal ci àdduna dëgg
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.
Ëlëgu 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.
Teg ko ci jëf
Lu tax mu am solo
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- Njëgg ak budget. Anamu jënd ak jaay ak tànneefi dugal dañu am njeexital ci njëg ak risk ci diir bu xawa yàgg.
- Risk ak kaaraange. Li liggéeyukaay bi di ñaax mooy tëral ni produit bi di doxee, kaaraange gi ak ubbeeku gi.
Moytul
- Koom-koomu ubbite mën na raw stabilite ci def liggéeyu defar dëgg.
- Njëg yi ci API wala coppite ci sàrt yi mën nañu dindi xalaat yi ci guddi gi.
- Dependence ci benn jaaykat dafay yokk njëgu tëjug ak migraasioŋ.
Jéego yi ci topp
- Saytu sa fournisseur yi nga jëfandikoo sa liggéey ak say done.
- Xoolaat mbir yu nëbbu, kaaraange ak sàrti yoon balaa ngay boole.
- Fexe am palaŋu fallback ci model yi wala jaaykat yi.
- Xool notu génne yi suko defee coppite yi ci kàrtu yoon du jaaxal ekip yi.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the LlamaIndex quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
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.
Luñu njëkka sos LlamaIndex ngir def?
LlamaIndex benn kaadaru done la buñ jagleel RAG: jël, indexe, ak laaj dokimaa suko defee LLMs tontu ci sa done.
Lan lañu njëkka woowe LlamaIndex bi ñu koy dugal?
Jerry Liu moo ko defar, ñu dugal ko ci Index GPT ci 2022 balaa ñu koy soppi tuddee ko LlamaIndex.
Lan moo tax ñu soxla seet ludul tënk lépp ci laaj bi?
Context windows yi dañu am àpp, te model yi xamu ñu sa fichier privé, moo tax RAG dafay jël pàcc yi gëna am solo ngir boole ci.
Ci biir pipeline LlamaIndex, lan lañuy sos ci bépp paccu këyit ngir mëna seetlu semantik?
Bépp node/chunk dañu koy soppi def ko vecteur buy jàpp li muy tekki, suko defee ñu mëna seet nuru.
Lan lañu tabax LlamaParse ngir liggéey?
LlamaParse parser dokimaa la buñ defar ngir PDF ak tablo yu jafee xam, gëna baaxal kalite done yi laataa ñuy indexe.
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