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llamaindex

Enumerations​

Classes​

Interfaces​

Type Aliases​

AnthropicStreamToken​

Ƭ AnthropicStreamToken: Object

Type declaration​

NameType
completionstring
log_id?string
modelstring
stop?boolean
stop_reasonstring | undefined

Defined in​

packages/core/src/callbacks/CallbackManager.ts:42

AssemblyAIOptions​

Ƭ AssemblyAIOptions: Partial<BaseServiceParams>

Defined in​

packages/core/src/readers/AssemblyAIReader.ts:12

BuilderParams​

Ƭ BuilderParams: Object

Type declaration​

NameType
docStoreBaseDocumentStore
fsGenericFileSystem
imageVectorStoreVectorStore
indexStoreBaseIndexStore
persistDirstring
storeImagesboolean
vectorStoreVectorStore

Defined in​

packages/core/src/storage/StorageContext.ts:18

ChoiceSelectPrompt​

Ƭ ChoiceSelectPrompt: typeof defaultChoiceSelectPrompt

Defined in​

packages/core/src/Prompt.ts:164

CompleteFileSystem​

Ƭ CompleteFileSystem: GenericFileSystem & WalkableFileSystem

Defined in​

packages/core/src/storage/FileSystem.ts:32

CondenseQuestionPrompt​

Ƭ CondenseQuestionPrompt: typeof defaultCondenseQuestionPrompt

Defined in​

packages/core/src/Prompt.ts:345

ContextSystemPrompt​

Ƭ ContextSystemPrompt: typeof defaultContextSystemPrompt

Defined in​

packages/core/src/Prompt.ts:366

EventTag​

Ƭ EventTag: "intermediate" | "final"

Defined in​

packages/core/src/callbacks/CallbackManager.ts:10

EventType​

Ƭ EventType: "retrieve" | "llmPredict" | "wrapper"

Defined in​

packages/core/src/callbacks/CallbackManager.ts:11

GenericFileSystem​

Ƭ GenericFileSystem: Object

A filesystem interface that is meant to be compatible with the 'fs' module from Node.js. Allows for the use of similar inteface implementation on browsers.

Type declaration​

NameType
access(path: string) => Promise<void>
mkdir(path: string, options?: null | Mode | MakeDirectoryOptions) => Promise<void>
readFile(path: string, options?: null | BufferEncoding | ObjectEncodingOptions & Abortable & { flag?: OpenMode }) => Promise<string>
writeFile(path: string, content: string, options?: null | ObjectEncodingOptions & { flag?: OpenMode ; mode?: Mode } & Abortable | BufferEncoding) => Promise<void>

Defined in​

packages/core/src/storage/FileSystem.ts:10

ImageNodeConstructorProps​

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

Type parameters​

NameType
Textends Metadata

Defined in​

packages/core/src/Node.ts:305

ImageType​

Ƭ ImageType: string | Blob | URL

Defined in​

packages/core/src/Node.ts:303

KeywordExtractPrompt​

Ƭ KeywordExtractPrompt: typeof defaultKeywordExtractPrompt

Defined in​

packages/core/src/Prompt.ts:381

ListIndex​

Ƭ ListIndex: SummaryIndex

Defined in​

packages/core/src/indices/summary/SummaryIndex.ts:267

ListIndexLLMRetriever​

Ƭ ListIndexLLMRetriever: SummaryIndexLLMRetriever

Defined in​

packages/core/src/indices/summary/SummaryIndexRetriever.ts:137

ListIndexRetriever​

Ƭ ListIndexRetriever: SummaryIndexRetriever

Defined in​

packages/core/src/indices/summary/SummaryIndexRetriever.ts:136

ListRetrieverMode​

Ƭ ListRetrieverMode: SummaryRetrieverMode

Defined in​

packages/core/src/indices/summary/SummaryIndex.ts:268

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:110

MessageType​

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

Defined in​

packages/core/src/llm/types.ts:36

Metadata​

Ƭ Metadata: Record<string, any>

Defined in​

packages/core/src/Node.ts:27

OpenAIStreamToken​

Ƭ OpenAIStreamToken: DefaultStreamToken

Defined in​

packages/core/src/callbacks/CallbackManager.ts:41

QueryKeywordExtractPrompt​

Ƭ QueryKeywordExtractPrompt: typeof defaultQueryKeywordExtractPrompt

Defined in​

packages/core/src/Prompt.ts:397

RefinePrompt​

Ƭ RefinePrompt: typeof defaultRefinePrompt

Defined in​

packages/core/src/Prompt.ts:105

RelatedNodeType​

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

Type parameters​

NameType
Textends Metadata = Metadata

Defined in​

packages/core/src/Node.ts:36

SimpleDirectoryReaderLoadDataProps​

Ƭ SimpleDirectoryReaderLoadDataProps: Object

Type declaration​

NameType
defaultReader?BaseReader | null
directoryPathstring
fileExtToReader?Record<string, BaseReader>
fs?CompleteFileSystem

Defined in​

packages/core/src/readers/SimpleDirectoryReader.ts:52

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​
NameType
inputRecord<string, string | undefined>
Returns​

string

Defined in​

packages/core/src/Prompt.ts:9

SubQuestionPrompt​

Ƭ SubQuestionPrompt: typeof defaultSubQuestionPrompt

Defined in​

packages/core/src/Prompt.ts:313

SubtitleFormat​

Ƭ SubtitleFormat: "srt" | "vtt"

Description

Format of the subtitles

Defined in​

node_modules/.pnpm/assemblyai@4.2.1/node_modules/assemblyai/dist/types/openapi.generated.d.ts:1003

SummaryPrompt​

Ƭ SummaryPrompt: typeof defaultSummaryPrompt

Defined in​

packages/core/src/Prompt.ts:72

TextQaPrompt​

Ƭ TextQaPrompt: typeof defaultTextQaPrompt

Defined in​

packages/core/src/Prompt.ts:36

TranscribeParams​

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

The parameters to transcribe an audio file.

Defined in​

node_modules/.pnpm/assemblyai@4.2.1/node_modules/assemblyai/dist/types/transcripts/index.d.ts:29

TreeSummarizePrompt​

Ƭ TreeSummarizePrompt: typeof defaultTreeSummarizePrompt

Defined in​

packages/core/src/Prompt.ts:130

WalkableFileSystem​

Ƭ WalkableFileSystem: Object

Type declaration​

NameType
readdir(path: string) => Promise<string[]>
stat(path: string) => Promise<any>

Defined in​

packages/core/src/storage/FileSystem.ts:27

Variables​

ALL_AVAILABLE_ANTHROPIC_MODELS​

• Const ALL_AVAILABLE_ANTHROPIC_MODELS: Object

Type declaration​

NameType
claude-2{ contextWindow: number = 200000 }
claude-2.contextWindownumber
claude-instant-1{ contextWindow: number = 100000 }
claude-instant-1.contextWindownumber

Defined in​

packages/core/src/llm/LLM.ts:571

ALL_AVAILABLE_LLAMADEUCE_MODELS​

• Const ALL_AVAILABLE_LLAMADEUCE_MODELS: Object

Type declaration​

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

Defined in​

packages/core/src/llm/LLM.ts:302

ALL_AVAILABLE_MISTRAL_MODELS​

• Const ALL_AVAILABLE_MISTRAL_MODELS: Object

Type declaration​

NameType
mistral-medium{ contextWindow: number = 32000 }
mistral-medium.contextWindownumber
mistral-small{ contextWindow: number = 32000 }
mistral-small.contextWindownumber
mistral-tiny{ contextWindow: number = 32000 }
mistral-tiny.contextWindownumber

Defined in​

packages/core/src/llm/mistral.ts:16

ALL_AVAILABLE_OPENAI_MODELS​

• Const ALL_AVAILABLE_OPENAI_MODELS: Object

We currently support GPT-3.5 and GPT-4 models

Type declaration​

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

Defined in​

packages/core/src/llm/LLM.ts:64

ALL_OPENAI_EMBEDDING_MODELS​

• Const ALL_OPENAI_EMBEDDING_MODELS: Object

Type declaration​

NameType
text-embedding-3-large{ dimensionOptions: number[] ; dimensions: number = 3072; maxTokens: number = 8191 }
text-embedding-3-large.dimensionOptionsnumber[]
text-embedding-3-large.dimensionsnumber
text-embedding-3-large.maxTokensnumber
text-embedding-3-small{ dimensionOptions: number[] ; dimensions: number = 1536; maxTokens: number = 8191 }
text-embedding-3-small.dimensionOptionsnumber[]
text-embedding-3-small.dimensionsnumber
text-embedding-3-small.maxTokensnumber
text-embedding-ada-002{ dimensions: number = 1536; maxTokens: number = 8191 }
text-embedding-ada-002.dimensionsnumber
text-embedding-ada-002.maxTokensnumber

Defined in​

packages/core/src/embeddings/OpenAIEmbedding.ts:12

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:38

GPT35_MODELS​

• Const GPT35_MODELS: Object

Type declaration​

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

Defined in​

packages/core/src/llm/LLM.ts:52

GPT4_MODELS​

• Const GPT4_MODELS: Object

Type declaration​

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

Defined in​

packages/core/src/llm/LLM.ts:41

defaultParagraphSeparator​

• Const defaultParagraphSeparator: string

Defined in​

packages/core/src/TextSplitter.ts:58

globalsHelper​

• Const globalsHelper: GlobalsHelper

Defined in​

packages/core/src/GlobalsHelper.ts:76

Functions​

anthropicTextQaPrompt​

▸ anthropicTextQaPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› queryundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:38

buildToolsText​

▸ buildToolsText(tools): string

Parameters​

NameType
toolsToolMetadata[]

Returns​

string

Defined in​

packages/core/src/Prompt.ts:242

cjkSentenceTokenizer​

▸ cjkSentenceTokenizer(sentence): string[]

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

Parameters​

NameType
sentencestring

Returns​

string[]

string[]

Defined in​

packages/core/src/TextSplitter.ts:42

defaultChoiceSelectPrompt​

▸ defaultChoiceSelectPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› queryundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:132

defaultCondenseQuestionPrompt​

▸ defaultCondenseQuestionPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› chatHistoryundefined | string""
› questionundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:329

defaultContextSystemPrompt​

▸ defaultContextSystemPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:359

defaultKeywordExtractPrompt​

▸ defaultKeywordExtractPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› maxKeywordsundefined | number10

Returns​

string

Defined in​

packages/core/src/Prompt.ts:368

defaultQueryKeywordExtractPrompt​

▸ defaultQueryKeywordExtractPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› maxKeywordsundefined | number10
› questionundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:383

defaultRefinePrompt​

▸ defaultRefinePrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› existingAnswerundefined | string""
› queryundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:90

defaultSentenceTokenizer​

▸ defaultSentenceTokenizer(text): string[]

Parameters​

NameType
textstring

Returns​

string[]

Defined in​

packages/core/src/TextSplitter.ts:22

defaultSubQuestionPrompt​

▸ defaultSubQuestionPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› queryStrundefined | string""
› toolsStrundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:283

defaultSummaryPrompt​

▸ defaultSummaryPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:61

defaultTextQaPrompt​

▸ defaultTextQaPrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› queryundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:26

defaultTreeSummarizePrompt​

▸ defaultTreeSummarizePrompt(«destructured»): string

Parameters​

NameTypeDefault value
«destructured»Objectundefined
› contextundefined | string""
› queryundefined | string""

Returns​

string

Defined in​

packages/core/src/Prompt.ts:120

exists​

▸ exists(fs, path): Promise<boolean>

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

Parameters​

NameTypeDescription
fsGenericFileSystemThe filesystem to use.
pathstringThe 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:83

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​

NameType
promptsSimplePrompt[]

Returns​

SimplePrompt

Defined in​

packages/core/src/PromptHelper.ts:21

getEmptyPromptTxt​

▸ getEmptyPromptTxt(prompt): string

Parameters​

NameType
promptSimplePrompt

Returns​

string

Defined in​

packages/core/src/PromptHelper.ts:11

getHistory​

▸ getHistory(chatHistory?): ChatHistory

Parameters​

NameType
chatHistory?ChatMessage[] | ChatHistory

Returns​

ChatHistory

Defined in​

packages/core/src/ChatHistory.ts:217

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​

NameType
optionsClientOptions & { azure?: boolean }

Returns​

OpenAISession

Defined in​

packages/core/src/llm/open_ai.ts:47

getResponseBuilder​

▸ getResponseBuilder(serviceContext, responseMode?): ResponseBuilder

Parameters​

NameType
serviceContextServiceContext
responseMode?ResponseMode

Returns​

ResponseBuilder

Defined in​

packages/core/src/synthesizers/builders.ts:340

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​

NameTypeDefault valueDescription
queryEmbeddingnumber[]undefined
embeddingsnumber[][]undefinedlist of embeddings to consider
similarityTopKnumberDEFAULT_SIMILARITY_TOP_Kmax number of embeddings to return, default 2
embeddingIdsnull | any[]nullids of embeddings in the embeddings list
similarityCutoffnull | numbernullminimum similarity score

Returns​

[number[], any[]]

Defined in​

packages/core/src/embeddings/utils.ts:80

getTopKEmbeddingsLearner​

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

Parameters​

NameTypeDefault value
queryEmbeddingnumber[]undefined
embeddingsnumber[][]undefined
similarityTopK?numberundefined
embeddingsIds?any[]undefined
queryModeVectorStoreQueryModeVectorStoreQueryMode.SVM

Returns​

[number[], any[]]

Defined in​

packages/core/src/embeddings/utils.ts:123

getTopKMMREmbeddings​

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

Parameters​

NameTypeDefault value
queryEmbeddingnumber[]undefined
embeddingsnumber[][]undefined
similarityFnnull | (...args: any[]) => numbernull
similarityTopKnull | numbernull
embeddingIdsnull | any[]null
_similarityCutoffnull | numbernull
mmrThresholdnull | numbernull

Returns​

[number[], any[]]

Defined in​

packages/core/src/embeddings/utils.ts:136

imageToDataUrl​

▸ imageToDataUrl(input): Promise<string>

Parameters​

NameType
inputImageType

Returns​

Promise<string>

Defined in​

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

imageToString​

▸ imageToString(input): Promise<string>

Parameters​

NameType
inputImageType

Returns​

Promise<string>

Defined in​

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

jsonToIndexStruct​

▸ jsonToIndexStruct(json): IndexStruct

Parameters​

NameType
jsonany

Returns​

IndexStruct

Defined in​

packages/core/src/indices/BaseIndex.ts:75

jsonToNode​

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

Parameters​

NameType
jsonany
type?ObjectType

Returns​

TextNode<Metadata>

Defined in​

packages/core/src/Node.ts:283

messagesToHistoryStr​

▸ messagesToHistoryStr(messages): string

Parameters​

NameType
messagesChatMessage[]

Returns​

string

Defined in​

packages/core/src/Prompt.ts:347

parseJsonMarkdown​

▸ parseJsonMarkdown(text): any

Parameters​

NameTypeDescription
textstringA markdown block with JSON

Returns​

any

parsed JSON object

Defined in​

packages/core/src/OutputParser.ts:40

readImage​

▸ readImage(input): Promise<RawImage>

Parameters​

NameType
inputImageType

Returns​

Promise<RawImage>

Defined in​

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

runTransformations​

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

Parameters​

NameType
nodesToRunBaseNode<Metadata>[]
transformationsTransformComponent[]
transformOptionsany
«destructured»TransformRunArgs

Returns​

Promise<BaseNode[]>

Defined in​

packages/core/src/ingestion/IngestionPipeline.ts:18

serviceContextFromDefaults​

▸ serviceContextFromDefaults(options?): ServiceContext

Parameters​

NameType
options?ServiceContextOptions

Returns​

ServiceContext

Defined in​

packages/core/src/ServiceContext.ts:30

serviceContextFromServiceContext​

▸ serviceContextFromServiceContext(serviceContext, options): Object

Parameters​

NameType
serviceContextServiceContext
optionsServiceContextOptions

Returns​

Object

NameType
callbackManagerCallbackManager
embedModelBaseEmbedding
llmLLM
nodeParserNodeParser
promptHelperPromptHelper

Defined in​

packages/core/src/ServiceContext.ts:48

similarity​

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

The similarity between two embeddings.

Parameters​

NameTypeDefault value
embedding1number[]undefined
embedding2number[]undefined
modeSimilarityTypeSimilarityType.DEFAULT

Returns​

number

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

Defined in​

packages/core/src/embeddings/utils.ts:25

splitNodesByType​

▸ splitNodesByType(nodes): Object

Parameters​

NameType
nodesBaseNode<Metadata>[]

Returns​

Object

NameType
imageNodesImageNode[]
textNodesTextNode[]

Defined in​

packages/core/src/Node.ts:352

storageContextFromDefaults​

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

Parameters​

NameType
«destructured»Partial<BuilderParams>

Returns​

Promise<StorageContext>

Defined in​

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

stringToImage​

▸ stringToImage(input): ImageType

Parameters​

NameType
inputstring

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​

NameTypeDescription
fsWalkableFileSystemThe filesystem to use.
dirPathstringThe path to the directory to traverse.

Returns​

AsyncIterable<string>

Defined in​

packages/core/src/storage/FileSystem.ts:100