QdrantEmbeddingStorageService

Wisej.AI.Services.QdrantEmbeddingStorageService

Namespace: Wisej.AI.Services

Assembly: Wisej.AI (3.5.0.0)

Represents a service for storing and retrieving embeddings using Qdrant.

C#

public class QdrantEmbeddingStorageService : IEmbeddingStorageService

VB.NET

Public Class QdrantEmbeddingStorageService
    Inherits IEmbeddingStorageService

This class provides methods to store, retrieve, query, and remove embedded documents in a Qdrant vector database. It uses an HTTP client service to communicate with the Qdrant API.

Constructors

QdrantEmbeddingStorageService(url)

Initializes a new instance of the QdrantEmbeddingStorageService class.

Name	Type	Description
url	String	The URL of the Qdrant service. Default is null.

Properties

ApiKey

String: Gets or sets the API key for the Qdrant service. (Default: null)

Authentication

String: Gets or sets the Authentication method for the Qdrant service. (Default: null)

MaxBatchSize

Int32: Gets or sets the maximum batch size used to store document vectors into the database. (Default: 100)

URL

String: Gets or sets the URL of the Qdrant service. (Default: null)

Methods

ExistsAsync(collectionName, documentName)

Checks if a document exists in the specified collection.

Parameter	Type	Description
collectionName	String	The name of the collection.
documentName	String	The name of the document.

Returns: Task<Boolean>. A task that represents the asynchronous operation. The task result contains a boolean indicating whether the document exists.

GetApiKey()

Retrieves the API key for the Qdrant service.

Returns: String. The API key for the Qdrant service.

QueryAsync(collectionName, query, topN, minSimilarity, filter)

Queries the specified collection for documents similar to the provided query vector.

Parameter	Type	Description
collectionName	String	The name of the collection.
query	Single[]	The query vector to compare against.
topN	Int32	The number of top similar documents to return.
minSimilarity	Single	The minimum similarity threshold for documents to be considered.
filter	Predicate<EmbeddedDocument>	An optional filter predicate to apply to documents. Default is null.

Returns: Task<EmbeddedDocument[]>. A task that represents the asynchronous operation. The task result contains an array of EmbeddedDocument objects.

QueryAsync(collectionName, documentName, query, topN, minSimilarity)

Queries the specified collection for a document similar to the given query vector.

Parameter	Type	Description
collectionName	String	The name of the collection.
documentName	String	The name of the document.
query	Single[]	The query vector.
topN	Int32	The number of top similar documents to retrieve.
minSimilarity	Single	The minimum similarity threshold.

Returns: Task<EmbeddedDocument>. A task that represents the asynchronous operation. The task result contains an EmbeddedDocument object.

Throws:

• ArgumentNullException Thrown when the document is null.

RemoveAsync(collectionName, filter)

Removes documents from the specified collection that match the given filter.

Parameter	Type	Description
collectionName	String	The name of the collection.
filter	Predicate<EmbeddedDocument>	An optional filter predicate to apply to documents. Default is null.

Returns: Task. A task that represents the asynchronous operation.

RemoveAsync(collectionName, documentName)

Removes a specific document from the collection.

Parameter	Type	Description
collectionName	String	The name of the collection.
documentName	String	The name of the document.

Returns: Task. A task that represents the asynchronous operation.

RetrieveAsync(collectionName, documentName, includeEmbedding)

Retrieves a specific document from the collection.

Parameter	Type	Description
collectionName	String	The name of the collection.
documentName	String	The name of the document.
includeEmbedding	Boolean	Indicates whether to include the embedding in the retrieved document.

Returns: Task<EmbeddedDocument>. A task that represents the asynchronous operation. The task result contains the EmbeddedDocument.

RetrieveAsync(collectionName, includeEmbedding, filter)

Retrieves all documents from the specified collection that match the given filter.

Parameter	Type	Description
collectionName	String	The name of the collection.
includeEmbedding	Boolean	Indicates whether to include the embedding in the retrieved documents.
filter	Predicate<EmbeddedDocument>	An optional filter predicate to apply to documents. Default is null.

Returns: Task<EmbeddedDocument[]>. A task that represents the asynchronous operation. The task result contains an array of EmbeddedDocument objects.

StoreAsync(collectionName, document)

Stores a document in the specified collection.

Parameter	Type	Description
collectionName	String	The name of the collection.
document	EmbeddedDocument	The document to store.

Returns: Task. A task that represents the asynchronous operation.

Throws:

• ArgumentNullException Thrown when the document is null.

Implements

Name	Description
IEmbeddingStorageService	Represents a service for storing and querying embedded documents within specified collections.