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high level design documentation of llama_index core

high level design documentation of llama_index core
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Please stand by @jefe2398#001 as I search the knowledge base. I normally take about 20 seconds or so. :wave:
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The LlamaIndex core is designed to facilitate the use of large external knowledge bases with Language Models (LLMs). It provides a set of data structures and functionalities to make this process easier. Here are some of the key components of the LlamaIndex core:

  1. SimpleDirectoryReader and StorageContext: These are used for reading directories and managing storage contexts respectively. They are part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import SimpleDirectoryReader, StorageContext


  1. VectorStoreIndex and SimpleKeywordTableIndex: These are data structures used for storing vectors and keywords respectively. They are part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import VectorStoreIndex, SimpleKeywordTableIndex


  1. SummaryIndex: This is a data structure used for storing summaries. It is part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import SummaryIndex


  1. ComposableGraph: This is a data structure used for creating composable graphs. It is part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import ComposableGraph


  1. OpenAI: This is a wrapper for the OpenAI API. It is part of the LLMs provided by LlamaIndex. Source ()
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from llama_index.llms.openai import OpenAI


  1. QueryPipeline and InputComponent: These are used for defining and managing query pipelines. They are part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core.query_pipeline import QueryPipeline, InputComponent


  1. Document: This is a data structure used for storing documents. It is part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import Document


  1. TreeSummarize: This is a response synthesizer used for summarizing trees. It is part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core.response_synthesizers import TreeSummarize


  1. NodeWithScore and TextNode: These are data structures used for storing nodes with scores and text nodes respectively. They are part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core.schema import NodeWithScore, TextNode


  1. PromptTemplate: This is used for defining prompt templates. It is part of the core functionalities provided by LlamaIndex. Source ()
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from llama_index.core import PromptTemplate


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