llamaindex

Enumerations

• ChatResponseMode
• ClipEmbeddingModelType
• DeuceChatStrategy
• HuggingFaceEmbeddingModelType
• IndexStructType
• KeywordTableRetrieverMode
• MetadataMode
• MistralAIEmbeddingModelType
• NodeRelationship
• ObjectType
• SimilarityType
• SummaryRetrieverMode
• Tokenizers
• VectorStoreQueryMode

Classes

• AgentChatResponse
• Anthropic
• AstraDBVectorStore
• AudioSubtitlesReader
• AudioTranscriptParagraphsReader
• AudioTranscriptReader
• AudioTranscriptSentencesReader
• AzureOpenAI
• BaseAgent
• BaseDocumentStore
• BaseEmbedding
• BaseExtractor
• BaseInMemoryKVStore
• BaseIndex
• BaseIndexStore
• BaseKVStore
• BaseNode
• BaseObjectNodeMapping
• BaseSelector
• CallbackManager
• ChatHistory
• ChromaVectorStore
• ClipEmbedding
• CohereRerank
• CompactAndRefine
• CondenseQuestionChatEngine
• ContextChatEngine
• CorrectnessEvaluator
• Document
• DocxReader
• FaithfulnessEvaluator
• FireworksEmbedding
• FireworksLLM
• FunctionTool
• Groq
• HTMLReader
• HuggingFaceEmbedding
• ImageDocument
• ImageNode
• ImageReader
• IndexDict
• IndexList
• IndexNode
• IndexStruct
• IngestionPipeline
• KeywordExtractor
• KeywordTable
• KeywordTableIndex
• KeywordTableLLMRetriever
• KeywordTableRAKERetriever
• KeywordTableSimpleRetriever
• LLMMultiSelector
• LLMQuestionGenerator
• LLMSingleSelector
• LlamaCloudIndex
• LlamaCloudRetriever
• LlamaDeuce
• LlamaIndexCustomEvent
• LlamaParseReader
• MarkdownNodeParser
• MarkdownReader
• MetadataReplacementPostProcessor
• MilvusVectorStore
• MistralAI
• MistralAIEmbedding
• MistralAISession
• MongoDBAtlasVectorSearch
• MultiModalEmbedding
• MultiModalResponseSynthesizer
• NotionReader
• ObjectIndex
• ObjectRetriever
• Ollama
• OllamaEmbedding
• OpenAI
• OpenAIAgent
• OpenAIAgentWorker
• OpenAIEmbedding
• OpenAISession
• PDFReader
• PGVectorStore
• PapaCSVReader
• PineconeVectorStore
• Portkey
• PromptHelper
• PromptMixin
• QdrantVectorStore
• QueryBundle
• QueryEngineTool
• QuestionsAnsweredExtractor
• ReActAgent
• ReActAgentWorker
• Refine
• RelevancyEvaluator
• Response
• ResponseSynthesizer
• RetrieverQueryEngine
• RouterQueryEngine
• SentenceSplitter
• SentenceWindowNodeParser
• SimilarityPostprocessor
• SimpleChatEngine
• SimpleChatHistory
• SimpleChatStore
• SimpleDirectoryReader
• SimpleDocumentStore
• SimpleIndexStore
• SimpleKVStore
• SimpleMongoReader
• SimpleNodeParser
• SimpleResponseBuilder
• SimpleToolNodeMapping
• SimpleVectorStore
• StreamingAgentChatResponse
• SubQuestionOutputParser
• SubQuestionQueryEngine
• SummaryChatHistory
• SummaryExtractor
• SummaryIndex
• SummaryIndexLLMRetriever
• SummaryIndexRetriever
• Task
• TaskStep
• TaskStepOutput
• TextFileReader
• TextNode
• TitleExtractor
• TogetherEmbedding
• TogetherLLM
• ToolFactory
• ToolOutput
• TreeSummarize
• VectorIndexRetriever
• VectorStoreIndex
• WikipediaTool

Interfaces

• AgentWorker
• BaseChatStore
• BaseIndexInit
• BaseNodePostprocessor
• BaseOutputParser
• BaseQueryEngine
• BaseReader
• BaseRetriever
• BaseSynthesizer
• BaseTool
• ChatEngine
• ChatEngineAgentParams
• ChatEngineParamsBase
• ChatEngineParamsNonStreaming
• ChatEngineParamsStreaming
• ChatMessage
• ChatResponse
• ChatResponseChunk
• CompletionResponse
• Context
• ContextGenerator
• DefaultStreamToken
• ExactMatchFilter
• FileReader
• KeywordIndexOptions
• LLM
• LLMChat
• LLMChatParamsBase
• LLMChatParamsNonStreaming
• LLMChatParamsStreaming
• LLMCompletionParamsBase
• LLMCompletionParamsNonStreaming
• LLMCompletionParamsStreaming
• LlamaIndexEventMaps
• MessageToolCall
• MetadataFilters
• MetadataInfo
• NodeParser
• NodeWithScore
• QueryEngineParamsBase
• QueryEngineParamsNonStreaming
• QueryEngineParamsStreaming
• RefDocInfo
• RelatedNodeInfo
• ResponseBuilder
• ResponseBuilderParamsBase
• ResponseBuilderParamsNonStreaming
• ResponseBuilderParamsStreaming
• RetrievalCallbackResponse
• ServiceContext
• ServiceContextOptions
• SingleSelection
• StorageContext
• StreamCallbackResponse
• StructuredOutput
• SummaryIndexOptions
• SynthesizeParamsBase
• SynthesizeParamsNonStreaming
• SynthesizeParamsStreaming
• ToolMetadata
• TransformComponent
• VectorIndexConstructorProps
• VectorIndexOptions
• VectorStore
• VectorStoreInfo
• VectorStoreQuery
• VectorStoreQueryResult
• VectorStoreQuerySpec

Other

AnthropicStreamToken

Ƭ AnthropicStreamToken: Anthropic.Completion

Defined in

packages/core/src/callbacks/CallbackManager.ts:69

---

AssemblyAIOptions

Ƭ AssemblyAIOptions: Partial<BaseServiceParams>

Defined in

packages/core/src/readers/AssemblyAIReader.ts:13

---

BuilderParams

Ƭ BuilderParams: Object

Type declaration

Name	Type
docStore	BaseDocumentStore
fs	GenericFileSystem
imageVectorStore	VectorStore
indexStore	BaseIndexStore
persistDir	string
storeImages	boolean
vectorStore	VectorStore

Defined in

packages/core/src/storage/StorageContext.ts:21

---

ChoiceSelectPrompt

Ƭ ChoiceSelectPrompt: typeof defaultChoiceSelectPrompt

Defined in

packages/core/src/Prompt.ts:178

---

CloudRetrieveParams

Ƭ CloudRetrieveParams: Omit<PlatformApi.RetrievalParams, "query" | "searchFilters" | "pipelineId" | "className"> & { similarityTopK?: number }

Defined in

packages/core/src/cloud/LlamaCloudRetriever.ts:10

---

CondenseQuestionPrompt

Ƭ CondenseQuestionPrompt: typeof defaultCondenseQuestionPrompt

Defined in

packages/core/src/Prompt.ts:359

---

ContextSystemPrompt

Ƭ ContextSystemPrompt: typeof defaultContextSystemPrompt

Defined in

packages/core/src/Prompt.ts:380

---

CorrectnessSystemPrompt

Ƭ CorrectnessSystemPrompt: typeof defaultCorrectnessSystemPrompt

Defined in

packages/core/src/evaluation/prompts.ts:52

---

FaithfulnessRefinePrompt

Ƭ FaithfulnessRefinePrompt: typeof defaultFaithfulnessRefinePrompt

Defined in

packages/core/src/evaluation/prompts.ts:76

---

FaithfulnessTextQAPrompt

Ƭ FaithfulnessTextQAPrompt: typeof defaultFaithfulnessTextQaPrompt

Defined in

packages/core/src/evaluation/prompts.ts:115

---

ImageNodeConstructorProps

Ƭ ImageNodeConstructorProps<T>: Pick<ImageNode<T>, "image" | "id_"> & Partial<ImageNode<T>>

Type parameters

Name	Type
T	extends Metadata

Defined in

packages/core/src/Node.ts:306

---

ImageType

Ƭ ImageType: string | Blob | URL

Defined in

packages/core/src/Node.ts:304

---

KeywordExtractPrompt

Ƭ KeywordExtractPrompt: typeof defaultKeywordExtractPrompt

Defined in

packages/core/src/Prompt.ts:395

---

LLMEndEvent

Ƭ LLMEndEvent: LLMBaseEvent<"llm-end", { response: ChatResponse }>

Defined in

packages/core/src/llm/types.ts:17

---

LLMMetadata

Ƭ LLMMetadata: Object

Type declaration

Name	Type
contextWindow	number
maxTokens?	number
model	string
temperature	number
tokenizer	Tokenizers | undefined
topP	number

Defined in

packages/core/src/llm/types.ts:99

---

LLMStartEvent

Ƭ LLMStartEvent: LLMBaseEvent<"llm-start", { messages: ChatMessage[] }>

Defined in

packages/core/src/llm/types.ts:11

---

ListIndex

Ƭ ListIndex: SummaryIndex

Defined in

packages/core/src/indices/summary/index.ts:277

---

ListIndexLLMRetriever

Ƭ ListIndexLLMRetriever: SummaryIndexLLMRetriever

Defined in

packages/core/src/indices/summary/index.ts:385

---

ListIndexRetriever

Ƭ ListIndexRetriever: SummaryIndexRetriever

Defined in

packages/core/src/indices/summary/index.ts:384

---

ListRetrieverMode

Ƭ ListRetrieverMode: SummaryRetrieverMode

Defined in

packages/core/src/indices/summary/index.ts:278

---

MessageContent

Ƭ MessageContent: string | MessageContentDetail[]

Extended type for the content of a message that allows for multi-modal messages.

Defined in

packages/core/src/llm/types.ts:168

---

MessageContentDetail

Ƭ MessageContentDetail: MessageContentTextDetail | MessageContentImageDetail

Defined in

packages/core/src/llm/types.ts:161

---

MessageContentImageDetail

Ƭ MessageContentImageDetail: Object

Type declaration

Name	Type
image_url	{ url: string }
image_url.url	string
type	"image_url"

Defined in

packages/core/src/llm/types.ts:156

---

MessageContentTextDetail

Ƭ MessageContentTextDetail: Object

Type declaration

Name	Type
text	string
type	"text"

Defined in

packages/core/src/llm/types.ts:151

---

MessageType

Ƭ MessageType: "user" | "assistant" | "system" | "generic" | "function" | "memory" | "tool"

Defined in

packages/core/src/llm/types.ts:68

---

Metadata

Ƭ Metadata: Record<string, any>

Defined in

packages/core/src/Node.ts:27

---

OpenAIAdditionalChatOptions

Ƭ OpenAIAdditionalChatOptions: Omit<Partial<OpenAILLM.Chat.ChatCompletionCreateParams>, "max_tokens" | "messages" | "model" | "temperature" | "top_p" | "stream" | "tools" | "toolChoice">

Defined in

packages/core/src/llm/open_ai.ts:137

---

OpenAIAdditionalMetadata

Ƭ OpenAIAdditionalMetadata: Object

Type declaration

Name	Type
isFunctionCallingModel	boolean

Defined in

packages/core/src/llm/open_ai.ts:149

---

OpenAIStreamToken

Ƭ OpenAIStreamToken: DefaultStreamToken

Defined in

packages/core/src/callbacks/CallbackManager.ts:68

---

QueryEngineToolParams

Ƭ QueryEngineToolParams: Object

Type declaration

Name	Type
metadata	ToolMetadata
queryEngine	BaseQueryEngine

Defined in

packages/core/src/tools/QueryEngineTool.ts:3

---

QueryKeywordExtractPrompt

Ƭ QueryKeywordExtractPrompt: typeof defaultQueryKeywordExtractPrompt

Defined in

packages/core/src/Prompt.ts:411

---

RefinePrompt

Ƭ RefinePrompt: typeof defaultRefinePrompt

Defined in

packages/core/src/Prompt.ts:119

---

RelatedNodeType

Ƭ RelatedNodeType<T>: RelatedNodeInfo<T> | RelatedNodeInfo<T>[]

Type parameters

Name	Type
T	extends Metadata = Metadata

Defined in

packages/core/src/Node.ts:36

---

RelevancyEvalPrompt

Ƭ RelevancyEvalPrompt: typeof defaultRelevancyEvalPrompt

Defined in

packages/core/src/evaluation/prompts.ts:130

---

RelevancyRefinePrompt

Ƭ RelevancyRefinePrompt: typeof defaultRelevancyRefinePrompt

Defined in

packages/core/src/evaluation/prompts.ts:155

---

ResponseBuilderPrompts

Ƭ ResponseBuilderPrompts: TextQaPrompt | TreeSummarizePrompt | RefinePrompt

Defined in

packages/core/src/synthesizers/builders.ts:389

---

RetrieveParams

Ƭ RetrieveParams: Object

Type declaration

Name	Type
preFilters?	unknown
query	string

Defined in

packages/core/src/Retriever.ts:4

---

SelectorResult

Ƭ SelectorResult: Object

Type declaration

Name	Type
selections	SingleSelection[]

Defined in

packages/core/src/selectors/base.ts:9

---

SimplePrompt

Ƭ SimplePrompt: (input: Record<string, string | undefined>) => string

A SimplePrompt is a function that takes a dictionary of inputs and returns a string. NOTE this is a different interface compared to LlamaIndex Python NOTE 2: we default to empty string to make it easy to calculate prompt sizes

Type declaration

▸ (input): string

Parameters

Name	Type
input	Record<string, string | undefined>

Returns

string

Defined in

packages/core/src/Prompt.ts:10

---

SubQuestionPrompt

Ƭ SubQuestionPrompt: typeof defaultSubQuestionPrompt

Defined in

packages/core/src/Prompt.ts:327

---

SubtitleFormat

Ƭ SubtitleFormat: "srt" | "vtt"

Description

Format of the subtitles

Defined in

node_modules/.pnpm/assemblyai@4.2.2/node_modules/assemblyai/dist/types/openapi.generated.d.ts:1003

---

SummaryPrompt

Ƭ SummaryPrompt: typeof defaultSummaryPrompt

Defined in

packages/core/src/Prompt.ts:76

---

TextQaPrompt

Ƭ TextQaPrompt: typeof defaultTextQaPrompt

Defined in

packages/core/src/Prompt.ts:37

---

ToolMetadataOnlyDescription

Ƭ ToolMetadataOnlyDescription: Pick<ToolMetadata, "description">

Defined in

packages/core/src/types.ts:71

---

ToolParameters

Ƭ ToolParameters: Object

Type declaration

Name	Type
properties	Record<string, { description?: string ; type: string }>
required?	string[]
type	string | "object"

Defined in

packages/core/src/types.ts:58

---

TranscribeParams

Ƭ TranscribeParams: { audio: AudioToTranscribe } & Omit<TranscriptParams, "audio_url">

The parameters to transcribe an audio file.

Defined in

node_modules/.pnpm/assemblyai@4.2.2/node_modules/assemblyai/dist/types/transcripts/index.d.ts:29

---

TreeSummarizePrompt

Ƭ TreeSummarizePrompt: typeof defaultTreeSummarizePrompt

Defined in

packages/core/src/Prompt.ts:144

---

UserPrompt

Ƭ UserPrompt: typeof defaultUserPrompt

Defined in

packages/core/src/evaluation/prompts.ts:20

---

VectorIndexRetrieverOptions

Ƭ VectorIndexRetrieverOptions: Object

VectorIndexRetriever retrieves nodes from a VectorIndex.

Type declaration

Name	Type
imageSimilarityTopK?	number
index	VectorStoreIndex
similarityTopK?	number

Defined in

packages/core/src/indices/vectorStore/index.ts:416

---

WikipediaToolParams

Ƭ WikipediaToolParams: Object

Type declaration

Name	Type
metadata?	ToolMetadata

Defined in

packages/core/src/tools/WikipediaTool.ts:4

---

ALL_AVAILABLE_LLAMADEUCE_MODELS

• Const ALL_AVAILABLE_LLAMADEUCE_MODELS: Object

Type declaration

Name	Type
Llama-2-13b-chat-4bit	{ contextWindow: number = 4096; replicateApi: string = "meta/llama-2-13b-chat:f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d" }
Llama-2-13b-chat-4bit.contextWindow	number
Llama-2-13b-chat-4bit.replicateApi	string
Llama-2-13b-chat-old	{ contextWindow: number = 4096; replicateApi: string = "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5" }
Llama-2-13b-chat-old.contextWindow	number
Llama-2-13b-chat-old.replicateApi	string
Llama-2-70b-chat-4bit	{ contextWindow: number = 4096; replicateApi: string = "meta/llama-2-70b-chat:02e509c789964a7ea8736978a43525956ef40397be9033abf9fd2badfe68c9e3" }
Llama-2-70b-chat-4bit.contextWindow	number
Llama-2-70b-chat-4bit.replicateApi	string
Llama-2-70b-chat-old	{ contextWindow: number = 4096; replicateApi: string = "replicate/llama70b-v2-chat:e951f18578850b652510200860fc4ea62b3b16fac280f83ff32282f87bbd2e48" }
Llama-2-70b-chat-old.contextWindow	number
Llama-2-70b-chat-old.replicateApi	string
Llama-2-7b-chat-4bit	{ contextWindow: number = 4096; replicateApi: string = "meta/llama-2-7b-chat:13c3cdee13ee059ab779f0291d29054dab00a47dad8261375654de5540165fb0" }
Llama-2-7b-chat-4bit.contextWindow	number
Llama-2-7b-chat-4bit.replicateApi	string
Llama-2-7b-chat-old	{ contextWindow: number = 4096; replicateApi: string = "a16z-infra/llama7b-v2-chat:4f0a4744c7295c024a1de15e1a63c880d3da035fa1f49bfd344fe076074c8eea" }
Llama-2-7b-chat-old.contextWindow	number
Llama-2-7b-chat-old.replicateApi	string

Defined in

packages/core/src/llm/LLM.ts:20

---

ALL_AVAILABLE_MISTRAL_MODELS

• Const ALL_AVAILABLE_MISTRAL_MODELS: Object

Type declaration

Name	Type
mistral-medium	{ contextWindow: number = 32000 }
mistral-medium.contextWindow	number
mistral-small	{ contextWindow: number = 32000 }
mistral-small.contextWindow	number
mistral-tiny	{ contextWindow: number = 32000 }
mistral-tiny.contextWindow	number

Defined in

packages/core/src/llm/mistral.ts:13

---

ALL_AVAILABLE_OPENAI_MODELS

• Const ALL_AVAILABLE_OPENAI_MODELS: Object

We currently support GPT-3.5 and GPT-4 models

Type declaration

Name	Type
gpt-3.5-turbo	{ contextWindow: number = 4096 }
gpt-3.5-turbo.contextWindow	number
gpt-3.5-turbo-0125	{ contextWindow: number = 16384 }
gpt-3.5-turbo-0125.contextWindow	number
gpt-3.5-turbo-0613	{ contextWindow: number = 4096 }
gpt-3.5-turbo-0613.contextWindow	number
gpt-3.5-turbo-1106	{ contextWindow: number = 16384 }
gpt-3.5-turbo-1106.contextWindow	number
gpt-3.5-turbo-16k	{ contextWindow: number = 16384 }
gpt-3.5-turbo-16k.contextWindow	number
gpt-3.5-turbo-16k-0613	{ contextWindow: number = 16384 }
gpt-3.5-turbo-16k-0613.contextWindow	number
gpt-4	{ contextWindow: number = 8192 }
gpt-4.contextWindow	number
gpt-4-0125-preview	{ contextWindow: number = 128000 }
gpt-4-0125-preview.contextWindow	number
gpt-4-1106-preview	{ contextWindow: number = 128000 }
gpt-4-1106-preview.contextWindow	number
gpt-4-32k	{ contextWindow: number = 32768 }
gpt-4-32k.contextWindow	number
gpt-4-32k-0613	{ contextWindow: number = 32768 }
gpt-4-32k-0613.contextWindow	number
gpt-4-turbo-preview	{ contextWindow: number = 128000 }
gpt-4-turbo-preview.contextWindow	number
gpt-4-vision-preview	{ contextWindow: number = 128000 }
gpt-4-vision-preview.contextWindow	number

Defined in

packages/core/src/llm/open_ai.ts:118

---

ALL_OPENAI_EMBEDDING_MODELS

• Const ALL_OPENAI_EMBEDDING_MODELS: Object

Type declaration

Name	Type
text-embedding-3-large	{ dimensionOptions: number[] ; dimensions: number = 3072; maxTokens: number = 8191 }
text-embedding-3-large.dimensionOptions	number[]
text-embedding-3-large.dimensions	number
text-embedding-3-large.maxTokens	number
text-embedding-3-small	{ dimensionOptions: number[] ; dimensions: number = 1536; maxTokens: number = 8191 }
text-embedding-3-small.dimensionOptions	number[]
text-embedding-3-small.dimensions	number
text-embedding-3-small.maxTokens	number
text-embedding-ada-002	{ dimensions: number = 1536; maxTokens: number = 8191 }
text-embedding-ada-002.dimensions	number
text-embedding-ada-002.maxTokens	number

Defined in

packages/core/src/embeddings/OpenAIEmbedding.ts:13

---

DEFAULT_CHUNK_OVERLAP

• Const DEFAULT_CHUNK_OVERLAP: 20

Defined in

packages/core/src/constants.ts:5

---

DEFAULT_CHUNK_OVERLAP_RATIO

• Const DEFAULT_CHUNK_OVERLAP_RATIO: 0.1

Defined in

packages/core/src/constants.ts:6

---

DEFAULT_CHUNK_SIZE

• Const DEFAULT_CHUNK_SIZE: 1024

Defined in

packages/core/src/constants.ts:4

---

DEFAULT_COLLECTION

• Const DEFAULT_COLLECTION: "data"

Defined in

packages/core/src/storage/constants.ts:1

---

DEFAULT_CONTEXT_WINDOW

• Const DEFAULT_CONTEXT_WINDOW: 3900

Defined in

packages/core/src/constants.ts:1

---

DEFAULT_DOC_STORE_PERSIST_FILENAME

• Const DEFAULT_DOC_STORE_PERSIST_FILENAME: "doc_store.json"

Defined in

packages/core/src/storage/constants.ts:4

---

DEFAULT_GRAPH_STORE_PERSIST_FILENAME

• Const DEFAULT_GRAPH_STORE_PERSIST_FILENAME: "graph_store.json"

Defined in

packages/core/src/storage/constants.ts:6

---

DEFAULT_IMAGE_VECTOR_NAMESPACE

• Const DEFAULT_IMAGE_VECTOR_NAMESPACE: "images"

Defined in

packages/core/src/storage/constants.ts:8

---

DEFAULT_INDEX_STORE_PERSIST_FILENAME

• Const DEFAULT_INDEX_STORE_PERSIST_FILENAME: "index_store.json"

Defined in

packages/core/src/storage/constants.ts:3

---

DEFAULT_NAMESPACE

• Const DEFAULT_NAMESPACE: "docstore"

Defined in

packages/core/src/storage/constants.ts:7

---

DEFAULT_NUM_OUTPUTS

• Const DEFAULT_NUM_OUTPUTS: 256

Defined in

packages/core/src/constants.ts:2

---

DEFAULT_OG_TEXT_METADATA_KEY

• Const DEFAULT_OG_TEXT_METADATA_KEY: "original_text"

Defined in

packages/core/src/nodeParsers/SentenceWindowNodeParser.ts:8

---

DEFAULT_PADDING

• Const DEFAULT_PADDING: 5

Defined in

packages/core/src/constants.ts:9

---

DEFAULT_PERSIST_DIR

• Const DEFAULT_PERSIST_DIR: "./storage"

Defined in

packages/core/src/storage/constants.ts:2

---

DEFAULT_SIMILARITY_TOP_K

• Const DEFAULT_SIMILARITY_TOP_K: 2

Defined in

packages/core/src/constants.ts:7

---

DEFAULT_VECTOR_STORE_PERSIST_FILENAME

• Const DEFAULT_VECTOR_STORE_PERSIST_FILENAME: "vector_store.json"

Defined in

packages/core/src/storage/constants.ts:5

---

DEFAULT_WINDOW_METADATA_KEY

• Const DEFAULT_WINDOW_METADATA_KEY: "window"

Defined in

packages/core/src/nodeParsers/SentenceWindowNodeParser.ts:7

---

DEFAULT_WINDOW_SIZE

• Const DEFAULT_WINDOW_SIZE: 3

Defined in

packages/core/src/nodeParsers/SentenceWindowNodeParser.ts:6

---

FILE_EXT_TO_READER

• Const FILE_EXT_TO_READER: Record<string, BaseReader>

Defined in

packages/core/src/readers/SimpleDirectoryReader.ts:15

---

GPT35_MODELS

• Const GPT35_MODELS: Object

Type declaration

Name	Type
gpt-3.5-turbo	{ contextWindow: number = 4096 }
gpt-3.5-turbo.contextWindow	number
gpt-3.5-turbo-0125	{ contextWindow: number = 16384 }
gpt-3.5-turbo-0125.contextWindow	number
gpt-3.5-turbo-0613	{ contextWindow: number = 4096 }
gpt-3.5-turbo-0613.contextWindow	number
gpt-3.5-turbo-1106	{ contextWindow: number = 16384 }
gpt-3.5-turbo-1106.contextWindow	number
gpt-3.5-turbo-16k	{ contextWindow: number = 16384 }
gpt-3.5-turbo-16k.contextWindow	number
gpt-3.5-turbo-16k-0613	{ contextWindow: number = 16384 }
gpt-3.5-turbo-16k-0613.contextWindow	number

Defined in

packages/core/src/llm/open_ai.ts:106

---

GPT4_MODELS

• Const GPT4_MODELS: Object

Type declaration

Name	Type
gpt-4	{ contextWindow: number = 8192 }
gpt-4.contextWindow	number
gpt-4-0125-preview	{ contextWindow: number = 128000 }
gpt-4-0125-preview.contextWindow	number
gpt-4-1106-preview	{ contextWindow: number = 128000 }
gpt-4-1106-preview.contextWindow	number
gpt-4-32k	{ contextWindow: number = 32768 }
gpt-4-32k.contextWindow	number
gpt-4-32k-0613	{ contextWindow: number = 32768 }
gpt-4-32k-0613.contextWindow	number
gpt-4-turbo-preview	{ contextWindow: number = 128000 }
gpt-4-turbo-preview.contextWindow	number
gpt-4-vision-preview	{ contextWindow: number = 128000 }
gpt-4-vision-preview.contextWindow	number

Defined in

packages/core/src/llm/open_ai.ts:95

---

Settings

• Const Settings: GlobalSettings

Defined in

packages/core/src/Settings.ts:224

---

defaultParagraphSeparator

• Const defaultParagraphSeparator: string

Defined in

packages/core/src/TextSplitter.ts:58

---

globalsHelper

• Const globalsHelper: GlobalsHelper

Defined in

packages/core/src/GlobalsHelper.ts:49

---

anthropicSummaryPrompt

▸ anthropicSummaryPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:78

---

anthropicTextQaPrompt

▸ anthropicTextQaPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› query	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:39

---

buildToolsText

▸ buildToolsText(tools): string

Parameters

Name	Type
tools	ToolMetadata[]

Returns

string

Defined in

packages/core/src/Prompt.ts:256

---

callToolWithErrorHandling

▸ callToolWithErrorHandling(tool, inputDict, errorMessage?, raiseError?): Promise<ToolOutput>

Call tool with error handling.

Parameters

Name	Type	Default value
tool	BaseTool	undefined
inputDict	Object	undefined
errorMessage	null | string	null
raiseError	boolean	false

Returns

Promise<ToolOutput>

Defined in

packages/core/src/tools/utils.ts:12

---

cjkSentenceTokenizer

▸ cjkSentenceTokenizer(sentence): string[]

Tokenizes sentences. Suitable for Chinese, Japanese, and Korean. Use instead of defaultSentenceTokenizer.

Parameters

Name	Type
sentence	string

Returns

string[]

string[]

Defined in

packages/core/src/TextSplitter.ts:42

---

defaultChoiceSelectPrompt

▸ defaultChoiceSelectPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› query	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:146

---

defaultCondenseQuestionPrompt

▸ defaultCondenseQuestionPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› chatHistory	undefined | string	""
› question	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:343

---

defaultContextSystemPrompt

▸ defaultContextSystemPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:373

---

defaultCorrectnessSystemPrompt

▸ defaultCorrectnessSystemPrompt(): string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:23

---

defaultEvaluationParser

▸ defaultEvaluationParser(evalResponse): [number, string]

Parameters

Name	Type
evalResponse	string

Returns

[number, string]

Defined in

packages/core/src/evaluation/utils.ts:1

---

defaultFaithfulnessRefinePrompt

▸ defaultFaithfulnessRefinePrompt(«destructured»): string

Parameters

Name	Type
«destructured»	Object
› context	string
› existingAnswer	string
› query	string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:54

---

defaultFaithfulnessTextQaPrompt

▸ defaultFaithfulnessTextQaPrompt(«destructured»): string

Parameters

Name	Type
«destructured»	Object
› context	string
› query	string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:78

---

defaultKeywordExtractPrompt

▸ defaultKeywordExtractPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› maxKeywords	undefined | number	10

Returns

string

Defined in

packages/core/src/Prompt.ts:382

---

defaultQueryKeywordExtractPrompt

▸ defaultQueryKeywordExtractPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› maxKeywords	undefined | number	10
› question	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:397

---

defaultRefinePrompt

▸ defaultRefinePrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› existingAnswer	undefined | string	""
› query	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:104

---

defaultRelevancyEvalPrompt

▸ defaultRelevancyEvalPrompt(«destructured»): string

Parameters

Name	Type
«destructured»	Object
› context	string
› query	string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:117

---

defaultRelevancyRefinePrompt

▸ defaultRelevancyRefinePrompt(«destructured»): string

Parameters

Name	Type
«destructured»	Object
› contextMsg	string
› existingAnswer	string
› query	string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:132

---

defaultSentenceTokenizer

▸ defaultSentenceTokenizer(text): string[]

Parameters

Name	Type
text	string

Returns

string[]

Defined in

packages/core/src/TextSplitter.ts:22

---

defaultSubQuestionPrompt

▸ defaultSubQuestionPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› queryStr	undefined | string	""
› toolsStr	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:297

---

defaultSummaryPrompt

▸ defaultSummaryPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:65

---

defaultTextQaPrompt

▸ defaultTextQaPrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› query	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:27

---

defaultTreeSummarizePrompt

▸ defaultTreeSummarizePrompt(«destructured»): string

Parameters

Name	Type	Default value
«destructured»	Object	undefined
› context	undefined | string	""
› query	undefined | string	""

Returns

string

Defined in

packages/core/src/Prompt.ts:134

---

defaultUserPrompt

▸ defaultUserPrompt(«destructured»): string

Parameters

Name	Type
«destructured»	Object
› generatedAnswer	string
› query	string
› referenceAnswer	string

Returns

string

Defined in

packages/core/src/evaluation/prompts.ts:1

---

exists

▸ exists(fs, path): Promise<boolean>

Checks if a file exists. Analogous to the os.path.exists function from Python.

Parameters

Name	Type	Description
fs	GenericFileSystem	The filesystem to use.
path	string	The path to the file to check.

Returns

Promise<boolean>

A promise that resolves to true if the file exists, false otherwise.

Defined in

packages/core/src/storage/FileSystem.ts:11

---

getBiggestPrompt

▸ getBiggestPrompt(prompts): SimplePrompt

Get biggest empty prompt size from a list of prompts. Used to calculate the maximum size of inputs to the LLM.

Parameters

Name	Type
prompts	SimplePrompt[]

Returns

SimplePrompt

Defined in

packages/core/src/PromptHelper.ts:21

---

getEmptyPromptTxt

▸ getEmptyPromptTxt(prompt): string

Parameters

Name	Type
prompt	SimplePrompt

Returns

string

Defined in

packages/core/src/PromptHelper.ts:11

---

getHistory

▸ getHistory(chatHistory?): ChatHistory

Parameters

Name	Type
chatHistory?	ChatMessage[] | ChatHistory

Returns

ChatHistory

Defined in

packages/core/src/ChatHistory.ts:228

---

getOpenAISession

▸ getOpenAISession(options?): OpenAISession

Get a session for the OpenAI API. If one already exists with the same options, it will be returned. Otherwise, a new session will be created.

Parameters

Name	Type
options	ClientOptions & { azure?: boolean }

Returns

OpenAISession

Defined in

packages/core/src/llm/open_ai.ts:80

---

getResponseBuilder

▸ getResponseBuilder(serviceContext?, responseMode?): ResponseBuilder

Parameters

Name	Type
serviceContext?	ServiceContext
responseMode?	ResponseMode

Returns

ResponseBuilder

Defined in

packages/core/src/synthesizers/builders.ts:373

---

getSelectorFromContext

▸ getSelectorFromContext(serviceContext, isMulti?): BaseSelector

Parameters

Name	Type	Default value
serviceContext	ServiceContext	undefined
isMulti	boolean	false

Returns

BaseSelector

Defined in

packages/core/src/selectors/utils.ts:6

---

getTopKEmbeddings

▸ getTopKEmbeddings(queryEmbedding, embeddings, similarityTopK?, embeddingIds?, similarityCutoff?): [number[], any[]]

Get the top K embeddings from a list of embeddings ordered by similarity to the query.

Parameters

Name	Type	Default value	Description
queryEmbedding	number[]	undefined
embeddings	number[][]	undefined	list of embeddings to consider
similarityTopK	number	DEFAULT_SIMILARITY_TOP_K	max number of embeddings to return, default 2
embeddingIds	null | any[]	null	ids of embeddings in the embeddings list
similarityCutoff	null | number	null	minimum similarity score

Returns

[number[], any[]]

Defined in

packages/core/src/embeddings/utils.ts:81

---

getTopKEmbeddingsLearner

▸ getTopKEmbeddingsLearner(queryEmbedding, embeddings, similarityTopK?, embeddingsIds?, queryMode?): [number[], any[]]

Parameters

Name	Type	Default value
queryEmbedding	number[]	undefined
embeddings	number[][]	undefined
similarityTopK?	number	undefined
embeddingsIds?	any[]	undefined
queryMode	VectorStoreQueryMode	VectorStoreQueryMode.SVM

Returns

[number[], any[]]

Defined in

packages/core/src/embeddings/utils.ts:124

---

getTopKMMREmbeddings

▸ getTopKMMREmbeddings(queryEmbedding, embeddings, similarityFn?, similarityTopK?, embeddingIds?, _similarityCutoff?, mmrThreshold?): [number[], any[]]

Parameters

Name	Type	Default value
queryEmbedding	number[]	undefined
embeddings	number[][]	undefined
similarityFn	null | (...args: any[]) => number	null
similarityTopK	null | number	null
embeddingIds	null | any[]	null
_similarityCutoff	null | number	null
mmrThreshold	null | number	null

Returns

[number[], any[]]

Defined in

packages/core/src/embeddings/utils.ts:137

---

imageToDataUrl

▸ imageToDataUrl(input): Promise<string>

Parameters

Name	Type
input	ImageType

Returns

Promise<string>

Defined in

packages/core/src/embeddings/utils.ts:250

---

imageToString

▸ imageToString(input): Promise<string>

Parameters

Name	Type
input	ImageType

Returns

Promise<string>

Defined in

packages/core/src/embeddings/utils.ts:222

---

isFunctionCallingModel

▸ isFunctionCallingModel(llm): llm is OpenAI

Parameters

Name	Type
llm	LLM<Record<string, unknown>>

Returns

llm is OpenAI

Defined in

packages/core/src/llm/open_ai.ts:123

---

jsonToIndexStruct

▸ jsonToIndexStruct(json): IndexStruct

Parameters

Name	Type
json	any

Returns

IndexStruct

Defined in

packages/core/src/indices/json-to-index-struct.ts:44

---

jsonToNode

▸ jsonToNode(json, type?): TextNode<Metadata>

Parameters

Name	Type
json	any
type?	ObjectType

Returns

TextNode<Metadata>

Defined in

packages/core/src/Node.ts:284

---

messagesToHistoryStr

▸ messagesToHistoryStr(messages): string

Parameters

Name	Type
messages	ChatMessage[]

Returns

string

Defined in

packages/core/src/Prompt.ts:361

---

parseJsonMarkdown

▸ parseJsonMarkdown(text): any

Parameters

Name	Type	Description
text	string	A markdown block with JSON

Returns

any

parsed JSON object

Defined in

packages/core/src/OutputParser.ts:41

---

readImage

▸ readImage(input): Promise<RawImage>

Parameters

Name	Type
input	ImageType

Returns

Promise<RawImage>

Defined in

packages/core/src/embeddings/utils.ts:211

---

runTransformations

▸ runTransformations(nodesToRun, transformations, transformOptions?, «destructured»?): Promise<BaseNode[]>

Parameters

Name	Type
nodesToRun	BaseNode<Metadata>[]
transformations	TransformComponent[]
transformOptions	any
«destructured»	TransformRunArgs

Returns

Promise<BaseNode[]>

Defined in

packages/core/src/ingestion/IngestionPipeline.ts:31

---

serviceContextFromDefaults

▸ serviceContextFromDefaults(options?): ServiceContext

Parameters

Name	Type
options?	ServiceContextOptions

Returns

ServiceContext

Defined in

packages/core/src/ServiceContext.ts:30

---

serviceContextFromServiceContext

▸ serviceContextFromServiceContext(serviceContext, options): Object

Parameters

Name	Type
serviceContext	ServiceContext
options	ServiceContextOptions

Returns

Object

Name	Type
embedModel	BaseEmbedding
llm	LLM<Record<string, unknown>>
nodeParser	NodeParser
promptHelper	PromptHelper

Defined in

packages/core/src/ServiceContext.ts:46

---

similarity

▸ similarity(embedding1, embedding2, mode?): number

The similarity between two embeddings.

Parameters

Name	Type	Default value
embedding1	number[]	undefined
embedding2	number[]	undefined
mode	SimilarityType	SimilarityType.DEFAULT

Returns

number

similarity score with higher numbers meaning the two embeddings are more similar

Defined in

packages/core/src/embeddings/utils.ts:26

---

splitNodesByType

▸ splitNodesByType(nodes): Object

Parameters

Name	Type
nodes	BaseNode<Metadata>[]

Returns

Object

Name	Type
imageNodes	ImageNode[]
textNodes	TextNode[]

Defined in

packages/core/src/Node.ts:353

---

storageContextFromDefaults

▸ storageContextFromDefaults(«destructured»): Promise<StorageContext>

Parameters

Name	Type
«destructured»	Partial<BuilderParams>

Returns

Promise<StorageContext>

Defined in

packages/core/src/storage/StorageContext.ts:31

---

stringToImage

▸ stringToImage(input): ImageType

Parameters

Name	Type
input	string

Returns

ImageType

Defined in

packages/core/src/embeddings/utils.ts:235

---

walk

▸ walk(fs, dirPath): AsyncIterable<string>

Recursively traverses a directory and yields all the paths to the files in it.

Parameters

Name	Type	Description
fs	WalkableFileSystem	The filesystem to use.
dirPath	string	The path to the directory to traverse.

Returns

AsyncIterable<string>

Defined in

packages/core/src/storage/FileSystem.ts:28