A path to the module that contains the class, eg. ["langchain", "llms"] Usually should be the same as the entrypoint the class is exported from.
A map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.
A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.
The final serialized identifier for the module.
A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.
Transform documents to Typesense records.
Typesense records.
Transform the Typesense records to documents.
documents
Add documents to the vector store. Will be updated if in the metadata there is a document with the same id if is using the default import function. Metadata will be added in the columns of the schema based on metadataColumnNames.
Documents to add.
Adds vectors to the vector store.
Vectors to add.
Documents associated with the vectors.
Optional
kOrFields: number | Partial<VectorStoreRetrieverInput<Typesense>>Optional
filter: Partial<MultiSearchRequestSchema>Optional
callbacks: CallbacksOptional
tags: string[]Optional
metadata: Record<string, unknown>Optional
verbose: booleanSearch for similar documents with their similarity score.
vector to search for
Optional
k: numberamount of results to return
similar documents with their similarity score
Optional
maxReturn documents selected using the maximal marginal relevance. Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.
Text to look up documents similar to.
Static
fromCreate a vector store from documents.
documents
embeddings
Typesense configuration
Typesense vector store
You can omit this method, and only use the constructor and addDocuments.
Static
fromCreate a vector store from texts.
Typesense vector store
Static
lc_Generated using TypeDoc
Typesense vector store.