Class: QdrantVectorStore
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:347
Interface
IVectorStore
Description
Defines the contract for interacting with a specific vector database or storage backend. Implementations will wrap specific clients (e.g., Pinecone client, Weaviate client, in-memory store logic).
Implements
Constructors
Constructor
new QdrantVectorStore():
QdrantVectorStore
Returns
QdrantVectorStore
Methods
checkHealth()
checkHealth():
Promise<{details?:any;isHealthy:boolean; }>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:477
Async
Checks the operational health of the vector store provider. This might involve pinging the service, checking connection status, or verifying authentication.
Returns
Promise<{ details?: any; isHealthy: boolean; }>
A promise that resolves with the health status.
details can include specific error messages or status information.
Implementation of
collectionExists()
collectionExists(
collectionName):Promise<boolean>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:506
Async
Checks if a collection with the given name exists in the vector store.
Parameters
collectionName
string
The name of the collection to check.
Returns
Promise<boolean>
A promise that resolves with true if the collection exists, false otherwise.
Throws
If the check fails for reasons other than existence (e.g., connection issue).
Implementation of
createCollection()
createCollection(
collectionName,dimension,options?):Promise<void>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:525
Async
Creates a new collection (or index, class, etc.) in the vector store. This is often necessary before documents can be upserted into it, depending on the provider.
Parameters
collectionName
string
The name of the collection to create.
dimension
number
The dimensionality of the vector embeddings that will be stored in this collection.
options?
Optional parameters for collection creation, such as similarity metric or provider-specific settings.
Returns
Promise<void>
A promise that resolves when the collection is successfully created.
Throws
If collection creation fails (e.g., name conflict and not overwriting, invalid parameters).
Implementation of
delete()
delete(
collectionName,ids?,options?):Promise<DeleteResult>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:982
Async
Deletes documents from a specified collection by their IDs or by a metadata filter.
Parameters
collectionName
string
The name of the collection to delete documents from.
ids?
string[]
An array of document IDs to delete.
options?
Optional parameters, including metadata filters or a deleteAll flag.
If ids are provided, options.filter might be ignored or combined,
depending on store behavior. Use with caution.
Returns
Promise<DeleteResult>
A promise that resolves with the result of the delete operation.
Throws
If the delete operation fails.
Implementation of
deleteCollection()
deleteCollection(
collectionName):Promise<void>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:577
Async
Deletes an entire collection from the vector store. This is a destructive operation.
Parameters
collectionName
string
The name of the collection to delete.
Returns
Promise<void>
A promise that resolves when the collection is successfully deleted.
Throws
If collection deletion fails.
Implementation of
getStats()
getStats(
collectionName?):Promise<Record<string,any>>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:586
Async
Optional: Retrieves statistics about a specific collection or the store itself. The structure of the returned statistics is provider-dependent.
Parameters
collectionName?
string
Optional: The name of the collection to get stats for. If omitted, may return store-wide stats if supported.
Returns
Promise<Record<string, any>>
A promise that resolves with a statistics object.
Throws
If fetching statistics fails.
Implementation of
hybridSearch()
hybridSearch(
collectionName,queryEmbedding,queryText,options?):Promise<QueryResult>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:819
Optional: Hybrid retrieval combining dense vector similarity with lexical search.
This is typically implemented using a store-native full-text index (e.g., SQLite FTS5), or a store-side BM25 implementation, then fusing dense and lexical rankings (e.g., RRF).
If not implemented, callers should fall back to query() (dense similarity).
Parameters
collectionName
string
queryEmbedding
number[]
queryText
string
options?
QueryOptions & object
Returns
Promise<QueryResult>
Implementation of
initialize()
initialize(
config):Promise<void>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:362
Async
Initializes the vector store provider with its specific configuration. This method must be called before any other operations can be performed. It sets up connections, authenticates, and prepares the store for use.
Parameters
config
The configuration object specific to this vector store provider.
This is typically a more specific type that extends VectorStoreProviderConfig.
Returns
Promise<void>
A promise that resolves when initialization is complete.
Throws
If initialization fails (e.g., invalid configuration, connection error, authentication failure).
Implementation of
query()
query(
collectionName,queryEmbedding,options?):Promise<QueryResult>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:704
Async
Queries a specified collection for documents similar to the provided query embedding.
Parameters
collectionName
string
The name of the collection to query.
queryEmbedding
number[]
The query vector embedding.
options?
Optional parameters for the query operation, including filters and topK.
Returns
Promise<QueryResult>
A promise that resolves with the query results.
Throws
If the query operation fails.
Implementation of
scanByMetadata()
scanByMetadata(
collectionName,options?):Promise<MetadataScanResult>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:740
Optional: Enumerates documents using metadata-only filtering without requiring a query embedding.
Parameters
collectionName
string
options?
MetadataScanOptions
Returns
Promise<MetadataScanResult>
Implementation of
shutdown()
shutdown():
Promise<void>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:501
Async
Gracefully shuts down the vector store provider, releasing any resources such as database connections or client instances.
Returns
Promise<void>
A promise that resolves when shutdown is complete.
Implementation of
upsert()
upsert(
collectionName,documents,options?):Promise<UpsertResult>
Defined in: packages/agentos/src/cognition/rag/vector_stores/QdrantVectorStore.ts:604
Async
Upserts (inserts or updates) a batch of documents into a specified collection. If a document with the same ID already exists, it is typically updated; otherwise, it's inserted.
Parameters
collectionName
string
The name of the collection (or index, class, etc.) to upsert documents into.
documents
An array of documents to upsert.
options?
Optional parameters for the upsert operation.
Returns
Promise<UpsertResult>
A promise that resolves with the result of the upsert operation.
Throws
If the upsert operation fails critically.