Initializes the AzureCosmosDBNoSQLVectorStore. Connect the client to the database and create the container, creating them if needed.
A promise that resolves when the AzureCosmosDBNoSQLVectorStore has been initialized.
Method for adding documents to the AzureCosmosDBNoSQLVectorStore. It first converts the documents to texts and then adds them as vectors.
The documents to add.
A promise that resolves to the added documents IDs.
Method for adding vectors to the AzureCosmosDBNoSQLVectorStore.
Vectors to be added.
Corresponding documents to be added.
A promise that resolves to the added documents IDs.
Removes specified documents from the AzureCosmosDBNoSQLVectorStore. If no IDs or filter are specified, all documents will be removed.
Parameters for the delete operation.
A promise that resolves when the documents have been removed.
Return 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.
List of documents selected by maximal marginal relevance.
Performs a similarity search on the vectors stored in the container.
Query text for the similarity search.
Optional filter options for the documents.
Promise that resolves to a list of documents.
Performs a similarity search on the vectors stored in the container.
Query vector for the similarity search.
Optional filter options for the documents.
Promise that resolves to a list of documents and their corresponding similarity scores.
Static
fromStatic method to create an instance of AzureCosmosDBNoSQLVectorStore from a list of documents. It first converts the documents to vectors and then adds them to the collection.
List of documents to be converted to vectors.
Embeddings to be used for conversion.
Database configuration for Azure Cosmos DB for NoSQL.
Promise that resolves to a new instance of AzureCosmosDBNoSQLVectorStore.
Static
fromStatic method to create an instance of AzureCosmosDBNoSQLVectorStore from a list of texts. It first converts the texts to vectors and then adds them to the collection.
List of texts to be converted to vectors.
Metadata for the texts.
Embeddings to be used for conversion.
Database configuration for Azure Cosmos DB for NoSQL.
Promise that resolves to a new instance of AzureCosmosDBNoSQLVectorStore.
Azure Cosmos DB for NoSQL vCore vector store. To use this, you should have both:
@azure/cosmos
NPM package installedYou do not need to create a database or container, it will be created automatically.