Class: AstraDBVectorStore

Extends

• VectorStoreBase

Implements

• VectorStoreNoEmbedModel

Constructors

new AstraDBVectorStore()

new AstraDBVectorStore(init?): AstraDBVectorStore

Parameters

• init?: Partial <AstraDBVectorStore> & object & Partial <IEmbedModel>

Returns

AstraDBVectorStore

Overrides

VectorStoreBase . constructor

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:28

Properties

astraClient

private astraClient: DataAPIClient

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:24

---

astraDB

private astraDB: Db

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:25

---

collection

private collection: undefined | Collection<SomeDoc>

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:26

---

contentKey

contentKey: string

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:22

---

embedModel

embedModel: BaseEmbedding

Inherited from

VectorStoreBase . embedModel

Source

packages/llamaindex/src/storage/vectorStore/types.ts:86

---

flatMetadata

flatMetadata: boolean = true

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:19

---

idKey

idKey: string

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:21

---

storesText

storesText: boolean = true

Implementation of

VectorStoreNoEmbedModel . storesText

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:18

Methods

add()

add(nodes): Promise<string[]>

Add your document(s) to your Astra DB collection.

Parameters

• nodes: BaseNode <Metadata>[]

Returns

Promise<string[]>

and array of node ids which were added

Implementation of

VectorStoreNoEmbedModel . add

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:107

---

client()

client(): DataAPIClient

Get an instance of your Astra DB client.

Returns

DataAPIClient

the AstraDB client

Implementation of

VectorStoreNoEmbedModel . client

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:98

---

connect()

connect(collection): Promise<void>

Connect to an existing collection in your Astra DB vector database. You must call this method or createAndConnect before adding, deleting, or querying.

Parameters

• collection: string

Returns

Promise<void>

Promise that resolves if the connection did not throw an error.

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:87

---

createAndConnect()

createAndConnect(collection, options?): Promise<void>

Create a new collection in your Astra DB vector database and connects to it. You must call this method or connect before adding, deleting, or querying.

Parameters

• collection: string

• options?: CreateCollectionOptions<SomeDoc>

Returns

Promise<void>

Promise that resolves if the creation did not throw an error.

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:70

---

delete()

delete(refDocId, deleteOptions?): Promise<void>

Delete a document from your Astra DB collection.

Parameters

• refDocId: string

• deleteOptions?: DeleteOneOptions

Returns

Promise<void>

Promise that resolves if the delete query did not throw an error.

Implementation of

VectorStoreNoEmbedModel . delete

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:147

---

query()

query(query, options?): Promise <VectorStoreQueryResult>

Query documents from your Astra DB collection to get the closest match to your embedding.

Parameters

• query: VectorStoreQuery

• options?: FindOptions

Returns

Promise <VectorStoreQueryResult>

Implementation of

VectorStoreNoEmbedModel . query

Source

packages/llamaindex/src/storage/vectorStore/AstraDBVectorStore.ts:172