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.
Adds documents to the database.
The documents to be added.
A Promise that resolves when the documents have been added.
Adds vectors and their corresponding documents to the database.
The vectors to be added.
The corresponding documents to be added.
A Promise that resolves when the vectors and documents have been added.
Optional kOrFields: number | Partial<VectorStoreRetrieverInput<LanceDB>>Optional filter: string | objectOptional callbacks: CallbacksOptional tags: string[]Optional metadata: Record<string, unknown>Optional verbose: booleanPerforms a similarity search on the vectors in the database and returns the documents and their scores.
The query vector.
The number of results to return.
A Promise that resolves with an array of tuples, each containing a Document and its 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 fromCreates a new instance of LanceDB from documents.
The documents to be added to the database.
The embeddings to be managed.
The configuration for the LanceDB instance.
A Promise that resolves with a new instance of LanceDB.
Static fromCreates a new instance of LanceDB from texts.
The texts to be converted into documents.
The metadata for the texts.
The embeddings to be managed.
The configuration for the LanceDB instance.
A Promise that resolves with a new instance of LanceDB.
Static lc_Generated using TypeDoc
A wrapper for an open-source database for vector-search with persistent storage. It simplifies retrieval, filtering, and management of embeddings.