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llama_index

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73 Score
Observed adoptionCurrent · 2026-09-12
80
MomentumCurrent · 2026-09-12
55
AttentionCurrent · 2026-09-12
82
Signal confidence Based on how many independent score dimensions currently have data.
High3/3 · 2 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

The core python package to the LlamaIndex library. Core classes and abstractions represent the foundational building blocks for LLM applications, most notably, RAG. Such building blocks include abstractions for LLMs, Vector Stores, Embeddings, Storage, Callables and several others.

We've designed the core library so that it can be easily extended through subclasses. Building LLM applications with LlamaIndex thus involves building with LlamaIndex core as well as with the LlamaIndex integrations needed for your application.

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