high level design documentation of llama

high level design documentation of llama_index core

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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:

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

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

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

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

OpenAI: This is a wrapper for the OpenAI API. It is part of the LLMs provided by LlamaIndex. Source ()

kkapa.ai

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from llama_index.llms.openai import OpenAI

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

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

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

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

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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high level design documentation of llama_index core