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.
FAQs
Interface between LLMs and your data
We found that llama-index-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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