Class: abstract BaseEmbedding
Extended by
HuggingFaceEmbeddingDeepInfraEmbeddingGeminiEmbeddingMistralAIEmbeddingMultiModalEmbeddingOpenAIEmbeddingOllama
Implements
Constructors
new BaseEmbedding()
new BaseEmbedding():
BaseEmbedding
Returns
Properties
embedBatchSize
embedBatchSize:
number=DEFAULT_EMBED_BATCH_SIZE
Source
packages/core/src/embeddings/types.ts:13
Methods
getQueryEmbedding()
getQueryEmbedding(
query):Promise<null|number[]>
Parameters
• query: MessageContentDetail
Returns
Promise<null | number[]>
Source
packages/core/src/embeddings/types.ts:25
getTextEmbedding()
abstractgetTextEmbedding(text):Promise<number[]>
Parameters
• text: string
Returns
Promise<number[]>
Source
packages/core/src/embeddings/types.ts:23
getTextEmbeddings()
getTextEmbeddings(
texts):Promise<number[][]>
Optionally override this method to retrieve multiple embeddings in a single request
Parameters
• texts: string[]
Returns
Promise<number[][]>
Source
packages/core/src/embeddings/types.ts:39
getTextEmbeddingsBatch()
getTextEmbeddingsBatch(
texts,options?):Promise<number[][]>
Get embeddings for a batch of texts
Parameters
• texts: string[]
• options?
• options.logProgress?: boolean
Returns
Promise<number[][]>
Source
packages/core/src/embeddings/types.ts:55
similarity()
similarity(
embedding1,embedding2,mode):number
Parameters
• embedding1: number[]
• embedding2: number[]
• mode: SimilarityType= SimilarityType.DEFAULT
Returns
number
Source
packages/core/src/embeddings/types.ts:15
transform()
transform(
nodes,_options?):Promise<BaseNode<Metadata>[]>
Parameters
• nodes: BaseNode <Metadata>[]
• _options?: any
Returns
Promise <BaseNode <Metadata>[]>
Implementation of
TransformComponent . transform