DocsReferenceRAGCloudflareVector

Cloudflare Vector Store

The CloudflareVector class provides vector search using Cloudflare Vectorize, a vector database service integrated with Cloudflare’s edge network.

Constructor Options

accountId:

string
Cloudflare account ID

apiToken:

string
Cloudflare API token with Vectorize permissions

Methods

createIndex()

indexName:

string
Name of the index to create

dimension:

number
Vector dimension (must match your embedding model)

metric?:

'cosine' | 'euclidean' | 'dotproduct'
= cosine
Distance metric for similarity search (dotproduct maps to dot-product)

upsert()

indexName:

string
Name of the index to upsert into

vectors:

number[][]
Array of embedding vectors

metadata?:

Record<string, any>[]
Metadata for each vector

ids?:

string[]
Optional vector IDs (auto-generated if not provided)

query()

indexName:

string
Name of the index to query

queryVector:

number[]
Query vector to find similar vectors

topK?:

number
= 10
Number of results to return

filter?:

Record<string, any>
Metadata filters for the query

includeVector?:

boolean
= false
Whether to include vectors in the results

listIndexes()

Returns an array of index names as strings.

describeIndex()

indexName:

string
Name of the index to describe

Returns:

interface IndexStats {
  dimension: number;
  count: number;
  metric: "cosine" | "euclidean" | "dotproduct";
}

deleteIndex()

indexName:

string
Name of the index to delete

createMetadataIndex()

Creates an index on a metadata field to enable filtering.

indexName:

string
Name of the index containing the metadata field

propertyName:

string
Name of the metadata field to index

indexType:

'string' | 'number' | 'boolean'
Type of the metadata field

deleteMetadataIndex()

Removes an index from a metadata field.

indexName:

string
Name of the index containing the metadata field

propertyName:

string
Name of the metadata field to remove indexing from

listMetadataIndexes()

Lists all metadata field indexes for an index.

indexName:

string
Name of the index to list metadata indexes for

Response Types

Query results are returned in this format:

interface QueryResult {
  id: string;
  score: number;
  metadata: Record<string, any>;
}

Error Handling

The store throws typed errors that can be caught:

try {
  await store.query("index_name", queryVector);
} catch (error) {
  if (error instanceof VectorStoreError) {
    console.log(error.code); // 'connection_failed' | 'invalid_dimension' | etc
    console.log(error.details); // Additional error context
  }
}

Environment Variables

Required environment variables:

  • CLOUDFLARE_ACCOUNT_ID: Your Cloudflare account ID
  • CLOUDFLARE_API_TOKEN: Your Cloudflare API token with Vectorize permissions

Related

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