IngestionPipeline
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:62
Constructors
new IngestionPipeline()
new IngestionPipeline(
init
?):IngestionPipeline
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:75
Parameters
init?
Partial
<IngestionPipeline
>
Returns
Properties
transformations
transformations:
TransformComponent
<BaseNode
<Metadata
>[] |Promise
<BaseNode
<Metadata
>[]>>[] =[]
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:63
documents?
optional
documents:Document
<Metadata
>[]
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:64
reader?
optional
reader:BaseReader
<Document
<Metadata
>>
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:65
vectorStore?
optional
vectorStore:BaseVectorStore
<unknown
>
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:66
vectorStores?
optional
vectorStores:VectorStoreByType
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:67
docStore?
optional
docStore:BaseDocumentStore
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:68
docStoreStrategy
docStoreStrategy:
DocStoreStrategy
=DocStoreStrategy.UPSERTS
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:69
cache?
optional
cache:IngestionCache
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:70
disableCache
disableCache:
boolean
=false
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:71
Methods
prepareInput()
prepareInput(
documents
?,nodes
?):Promise
<BaseNode
<Metadata
>[]>
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:95
Parameters
documents?
Document
<Metadata
>[]
nodes?
BaseNode
<Metadata
>[]
Returns
Promise
<BaseNode
<Metadata
>[]>
run()
run(
args
,transformOptions
?):Promise
<BaseNode
<Metadata
>[]>
Defined in: llamaindex/src/ingestion/IngestionPipeline.ts:117
Parameters
args
any
= {}
transformOptions?
any
Returns
Promise
<BaseNode
<Metadata
>[]>