Skip to main content

Cloudflare 向量存储

🌐 Cloudflare Vector Store

CloudflareVector 类使用 Cloudflare Vectorize 提供向量搜索,这是一种与 Cloudflare 边缘网络集成的向量数据库服务。

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

构造函数选项
Direct link to 构造函数选项

🌐 Constructor Options

accountId:

string
Cloudflare account ID

apiToken:

string
Cloudflare API token with Vectorize permissions

方法
Direct link to 方法

🌐 Methods

createIndex()
Direct link to 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()
Direct link to 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()
Direct link to 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()
Direct link to listIndexes()

返回一个由索引名称组成的字符串数组。

🌐 Returns an array of index names as strings.

describeIndex()
Direct link to describeIndex()

indexName:

string
Name of the index to describe

返回:

🌐 Returns:

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

deleteIndex()
Direct link to deleteIndex()

indexName:

string
Name of the index to delete

createMetadataIndex()
Direct link to createMetadataIndex()

在元数据字段上创建索引以启用筛选。

🌐 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()
Direct link to deleteMetadataIndex()

从元数据字段中移除索引。

🌐 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()
Direct link to listMetadataIndexes()

列出索引的所有元数据字段索引。

🌐 Lists all metadata field indexes for an index.

indexName:

string
Name of the index to list metadata indexes for

updateVector()
Direct link to updateVector()

更新索引中某个特定 ID 的向量或元数据。

🌐 Updates a vector or metadata for a specific ID within an index.

indexName:

string
Name of the index containing the ID to update

id:

string
Unique identifier of the vector or metadata to update

update:

{ vector?: number[]; metadata?: Record<string, any>; }
Object containing the vector and/or metadata to update

deleteVector()
Direct link to deleteVector()

删除索引中某个特定 ID 的向量及其相关元数据。

🌐 Deletes a vector and its associated metadata for a specific ID within an index.

indexName:

string
Name of the index containing the ID to delete

id:

string
Unique identifier of the vector and metadata to delete

响应类型
Direct link to 响应类型

🌐 Response Types

查询结果以此格式返回:

🌐 Query results are returned in this format:

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

错误处理
Direct link to 错误处理

🌐 Error Handling

该存储会抛出可以被捕获的类型化错误:

🌐 The store throws typed errors that can be caught:

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

环境变量
Direct link to 环境变量

🌐 Environment Variables

所需的环境变量:

🌐 Required environment variables:

  • CLOUDFLARE_ACCOUNT_ID:你的 Cloudflare 账户 ID
  • CLOUDFLARE_API_TOKEN:具有 Vectorize 权限的 Cloudflare API 令牌

🌐 Related