混合搜索

混合搜索通过融合两个结果集来组合向量搜索和关键词（BM25F）搜索的结果。

可以配置融合方法和相对权重。

您更喜欢自然语言查询吗？

查询代理将简单的英文问题自动转换为优化的 Weaviate 查询 - 无需手动构建查询。

仅云端

基本混合搜索

组合向量搜索和关键词搜索的结果。搜索使用单个查询字符串。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(query="food", limit=3)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  limit: 2,
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3

q := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().WithQuery(query)).
  WithLimit(limit)

result, err := q.Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid(
    "food", q -> q.limit(3)
);

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "answer": "Famine",
          "question": "From the Latin for \"hunger\", it's a period when food is extremely scarce"
        },
        {
          "answer": "Tofu",
          "question": "A popular health food, this soybean curd is used to make a variety of dishes & an ice cream substitute"
        }
      ]
    }
  }
}

命名向量

新增于 v1.24

在具有命名向量的集合上进行的混合搜索必须指定一个target向量。Weaviate 使用查询向量来搜索目标向量空间。

PythonJavaScript/TypeScriptJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

reviews = client.collections.use("WineReviewNV")
response = reviews.query.hybrid(
    query="A French Riesling",
    target_vector="title_country",
    limit=3
)

for o in response.objects:
    print(o.properties)

const myNVCollection = client.collections.use('WineReviewNV');

const result = await myNVCollection.query.hybrid('a sweet German white wine', {
  targetVector: 'title_country',
  limit: 2,
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

var reviews = client.Collections.Use("WineReviewNV");
var response = await reviews.Query.Hybrid(
    vectors: v => v.NearText(["A French Riesling"]).TargetVectorsMinimum("title_country"),
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    WineReviewNV(
      limit: 2
      hybrid: {
        targetVectors: ["title_country"]
        query: "A French Riesling"
      }
    ) {
      title
      review_body
      country
    }
  }
}

示例响应

输出如下所示

解释搜索结果

要查看对象排名，请在查询中设置 explain score 字段。搜索排名是对象元数据的一部分。Weaviate 使用分数来对搜索结果进行排序。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import MetadataQuery

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    alpha=0.5,
    return_metadata=MetadataQuery(score=True, explain_score=True),
    limit=3,
)

for o in response.objects:
    print(o.properties)
    print(o.metadata.score, o.metadata.explain_score)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  limit: 2,
  returnProperties: ['question', 'answer'],
  returnMetadata: ['score', 'explainScore']
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
  console.log(object.metadata?.score);
  console.log(object.metadata?.explainScore);
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(
  	graphql.Field{Name: "question"},
  	graphql.Field{Name: "answer"},
  	graphql.Field{Name: "_additional", Fields: []graphql.Field{{Name: "score"}, {Name: "explainScore"}}},
  ).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().WithQuery(query)).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q.alpha(0.5f)
    .returnMetadata(Metadata.SCORE, Metadata.EXPLAIN_SCORE)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
  System.out
      .println(o.queryMetadata().score() + " " + o.queryMetadata().explainScore());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    alpha: 0.5f,
    returnMetadata: MetadataOptions.Score | MetadataOptions.ExplainScore,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
    Console.WriteLine(
        $"Score: {o.Metadata.Score}, Explain Score: {o.Metadata.ExplainScore}"
    );
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
      }
    ) {
      question
      answer
      _additional {
        score
        explainScore
      }
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "_additional": {
            "explainScore": "(bm25)\n(hybrid) Document df958a90-c3ad-5fde-9122-cd777c22da6c contributed 0.003968253968253968 to the score\n(hybrid) Document df958a90-c3ad-5fde-9122-cd777c22da6c contributed 0.012295081967213115 to the score",
            "score": "0.016263336"
          },
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "_additional": {
            "explainScore": "(vector) [0.0223698 -0.02752683 -0.0061537363 0.0023812135 -0.00036100898 -0.0078375945 -0.018505432 -0.037500713 -0.0042215516 -0.012620432]...  \n(hybrid) Document ec776112-e651-519d-afd1-b48e6237bbcb contributed 0.012096774193548387 to the score",
            "score": "0.012096774"
          },
          "answer": "Famine",
          "question": "From the Latin for \"hunger\", it's a period when food is extremely scarce"
        },
        {
          "_additional": {
            "explainScore": "(vector) [0.0223698 -0.02752683 -0.0061537363 0.0023812135 -0.00036100898 -0.0078375945 -0.018505432 -0.037500713 -0.0042215516 -0.012620432]...  \n(hybrid) Document 98807640-cd16-507d-86a1-801902d784de contributed 0.011904761904761904 to the score",
            "score": "0.011904762"
          },
          "answer": "Tofu",
          "question": "A popular health food, this soybean curd is used to make a variety of dishes & an ice cream substitute"
        }
      ]
    }
  }
}

平衡关键词和向量搜索

混合搜索结果可以偏向关键词组件或向量组件。要更改关键词和向量组件的相对权重，请在查询中设置 alpha 值。

• alpha 为 1 是纯向量搜索。
• alpha 为 0 是纯关键词搜索。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    alpha=0.25,
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  alpha: 0.25,
  limit: 3
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3
alpha := float32(0.25)

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().
  	WithQuery(query).
  	WithAlpha(alpha),
  ).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .alpha(0.25f)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    alpha: 0.25f,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
        alpha: 0.25
      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "answer": "food stores (supermarkets)",
          "question": "This type of retail store sells more shampoo & makeup than any other"
        },
        {
          "answer": "cake",
          "question": "Devil's food & angel food are types of this dessert"
        }
      ]
    }
  }
}

更改融合方法

从 v1.24 开始，相对分数融合是默认的融合方法。

• 要使用关键词和向量搜索相对分数而不是搜索排名，请使用 相对分数融合。
• 要使用 autocut 与 hybrid 操作符，请使用 相对分数融合。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import HybridFusion

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    fusion_type=HybridFusion.RELATIVE_SCORE,
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  limit: 2,
  fusionType: 'RelativeScore', // can also be 'Ranked'
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3
fusionType := "relativeScoreFusion"

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().
  	WithQuery(query).
  	WithFusionType(graphql.FusionType(fusionType)),
  ).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .fusionType(FusionType.RELATIVE_SCORE)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    fusionType: HybridFusion.RelativeScore,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
        fusionType: relativeScoreFusion
      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "answer": "food stores (supermarkets)",
          "question": "This type of retail store sells more shampoo & makeup than any other"
        },
        {
          "answer": "cake",
          "question": "Devil's food & angel food are types of this dessert"
        }
      ]
    }
  }
}

其他信息

有关融合方法的讨论，请参阅这篇博客文章和此参考页面

关键词搜索运算符

在 v1.31 中添加

关键词（BM25）搜索运算符定义了对象中必须存在才能返回的查询词元的最小数量。选项是 and 或 or（默认）。

or

使用 or 运算符，搜索将返回包含搜索字符串中的至少 minimumOrTokensMatch 个词元的对象。

PythonJavaScript/TypeScriptJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import BM25Operator

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="Australian mammal cute",
    bm25_operator=BM25Operator.or_(minimum_match=2),
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const response = await jeopardy.query.hybrid("Australian mammal cute", {
    bm25Operator: Bm25Operator.or({
      minimumMatch: 2
    }),
    limit: 3,
})

for (const object of response.objects) {
    console.log(object.properties)
}

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid(
    "Australian mammal cute", c -> c.searchOperator(SearchOperator.or(2))
        .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "Australian mammal cute",
    bm25Operator: new BM25Operator.Or(MinimumMatch: 1),
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "Australian mammal cute"
        bm25SearchOperator: {
          operator: Or,
          minimumOrTokensMatch: 2
        }
      }
    ) {
      question
      answer
    }
  }
}

and

使用 and 运算符，搜索将返回包含搜索字符串中所有词元的对象。

PythonJavaScript/TypeScriptJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import BM25Operator

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="Australian mammal cute",
    bm25_operator=BM25Operator.and_(),  # Each result must include all tokens (e.g. "australian", "mammal", "cute")
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const response = await jeopardy.query.hybrid(
    "Australian mammal cute", {
    bm25Operator: Bm25Operator.and(), // Each result must include all tokens (e.g. "australian", "mammal", "cute")
    limit: 3,
})

for (const object of response.objects) {
    console.log(object.properties)
}

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid(
    "Australian mammal cute"
// .bm25Operator(BM25Operator.and()) // Each result must include all tokens
// (e.g. "australian", "mammal", "cute")
// .limit(3)
);

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "Australian mammal cute",
    bm25Operator: new BM25Operator.And(), // Each result must include all tokens
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "Australian mammal cute"
        bm25SearchOperator: {
          operator: And,
        }
      }
    ) {
      question
      answer
    }
  }
}

指定关键词搜索属性

自 v1.19.0 起添加

混合搜索的关键词部分可以被定向到仅搜索对象属性的子集。这不会影响向量搜索部分。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    query_properties=["question"],
    alpha=0.25,
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  queryProperties: ['question'],
  alpha: 0.25,
  limit: 3
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3
alpha := float32(0.25)
properties := []string{"question"}

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().
  	WithQuery(query).
  	WithAlpha(alpha).
  	WithProperties(properties),
  ).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .queryProperties("question")
    .alpha(0.25f)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    queryProperties: ["question"],
    alpha: 0.25f,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
        properties: ["question"]
        alpha: 0.25
      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "answer": "cake",
          "question": "Devil's food & angel food are types of this dessert"
        },
        {
          "answer": "honey",
          "question": "The primary source of this food is the Apis mellifera"
        }
      ]
    }
  }
}

设置属性值的权重

指定对象 properties 在关键词搜索中的相对值。较高的值会增加属性对搜索分数的贡献。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    query_properties=["question^2", "answer"],
    alpha=0.25,
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  queryProperties: ['question^2', 'answer'],
  alpha: 0.25,
  limit: 3
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3
alpha := float32(0.25)
properties := []string{"question^2", "answer"}

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().
  	WithQuery(query).
  	WithAlpha(alpha).
  	WithProperties(properties),
  ).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .queryProperties("question^2", "answer")
    .alpha(0.25f)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    queryProperties: ["question^2", "answer"],
    alpha: 0.25f,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
        properties: ["question^2", "answer"]
        alpha: 0.25
      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "a closer grocer",
          "question": "A nearer food merchant"
        },
        {
          "answer": "cake",
          "question": "Devil's food & angel food are types of this dessert"
        },
        {
          "answer": "food stores (supermarkets)",
          "question": "This type of retail store sells more shampoo & makeup than any other"
        }
      ]
    }
  }
}

指定搜索向量

混合搜索的向量组件可以使用查询字符串或查询向量。要指定查询向量而不是查询字符串，请在查询中提供查询向量（用于向量搜索）和查询字符串（用于关键词搜索）。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

query_vector = [-0.02] * 1536  # Some vector that is compatible with object vectors

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    vector=query_vector,
    alpha=0.25,
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');
let queryVector = Array(1536).fill(0.12345) // Query vector [0.12345, 0.12345, 0.12345...]

const result = await jeopardy.query.hybrid('food', {
  vector: queryVector,
  alpha: 0.25,
  limit: 3
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3
//Create a vector 384 dimensions long

// Define the length of the slice
length := 384

// Initialize the slice with the specified length
values := make([]float32, length)

// Fill the slice with values
for i := 0; i < length; i++ {
  values[i] = 0.1 * float32(i+1)
}

vector := values

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().
  	WithQuery(query).
  	WithVector(vector),
  ).
  WithLimit(limit).
  Do(ctx)

float[] queryVector = new float[1536]; // Some vector that is compatible with object vectors
for (int i = 0; i < queryVector.length; i++) {
  queryVector[i] = -0.02f;
}

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    // .nearVector(NearVector.of(queryVector))
    .alpha(0.25f)
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var queryVector = Enumerable.Repeat(-0.02f, 1536).ToArray();

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    vectors: queryVector,
    alpha: 0.25f,
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
        vector: [0.013085687533020973, -0.00777443777769804, 0.005439540836960077, -0.021052561700344086, -0.02164270170032978, -0.006985447835177183, -0.018974246457219124, -0.025260508060455322, -0.0013630924513563514, -0.03597281128168106, 0.027993107214570045, 0.01635710895061493, -0.02948128432035446, 0.009159981273114681, -0.0026780758053064346, 0.001033544773235917, 0.04051431640982628, 0.001919554895721376, 0.024952609091997147, -0.01960287243127823, 0.0001997531799133867, 0.031405650079250336, 0.021142365410923958, -0.007954045198857784, -0.0008338918560184538, -0.0040572043508291245, 7.381747127510607e-05, -0.019051222130656242, 0.004942412953823805, -0.01888444274663925, 0.028121398761868477, 0.004631306976079941, -0.031559597700834274, -0.003143130801618099, 0.01867917738854885, -0.024208521470427513, 0.0056351847015321255, -0.019333461299538612, -0.0012756941141560674, 0.01737060956656933, 0.020128866657614708, -0.007755194325000048, -0.0071329823695123196, -0.007761608809232712, -0.0074986121617257595, 0.00579554820433259, 0.002782312221825123, 0.01349621918052435, 0.003954571671783924, 0.003170392708852887, 0.017678506672382355, 0.008980373851954937, -0.027454284951090813, -0.004377932287752628, 0.013547535054385662, 0.028506271541118622, -0.011225467547774315, -0.003855146234855056, -8.654634439153597e-05, -0.021770991384983063, -0.004724318161606789, 0.037281379103660583, -0.0543954074382782, 0.01912819594144821, 0.009916898794472218, -0.007806510664522648, 0.0035921495873481035, 0.011757874861359596, -0.004980900324881077, -0.014381427317857742, 0.005952704697847366, 0.009839924052357674, -0.02256639674305916, 0.014561034739017487, 0.01888444274663925, 0.0006859562126919627, 0.0024984683841466904, 0.0033355674240738153, -0.007633317727595568, -0.015330781228840351, 0.02297692745923996, -0.02996879070997238, 0.017473241314291954, 0.01232235599309206, 0.019949259236454964, 0.009769363328814507, -0.038307707756757736, 0.0278134997934103, 0.012264625169336796, -0.007062422577291727, -0.013316611759364605, -0.00465055089443922, 0.013188320212066174, 0.008210627362132072, -0.023862136527895927, 0.006998276803642511, -0.005157300271093845, 0.036024127155542374, -0.0211167074739933, -0.0013109742430970073, -0.0014577071415260434, 0.00858267117291689, -0.004637721460312605, -0.0176656786352396, -0.0035793203860521317, -0.004618478007614613, -0.0015691599110141397, -0.018692007288336754, 0.016536716371774673, -0.012476304545998573, -0.03150828182697296, 0.029789183288812637, 0.01989794336259365, -0.03304777666926384, -0.025234850123524666, 0.0034093346912413836, 0.04154064506292343, 0.013188320212066174, 4.1249832065659575e-06, -0.015279464423656464, -0.01488176267594099, 0.016498230397701263, 0.03025102987885475, -0.015574533492326736, 0.033304356038570404, 0.014445573091506958, 0.018114697188138962, -0.011077932082116604, -0.020719004794955254, -0.008069506846368313, 0.0259789377450943, 0.013079272583127022, 0.014920249581336975, -0.005500479135662317, -0.025119388476014137, 0.017062710598111153, -0.0018938967259600759, -0.003059741575270891, -0.005179751198738813, -0.0017062709666788578, 0.02025715820491314, 0.039077453315258026, -0.01520248968154192, 0.012912494130432606, -0.018730493262410164, 0.022669028490781784, 0.014458402059972286, 0.01916668377816677, -0.013406415469944477, 0.0027758977375924587, 0.02151441015303135, -0.025080900639295578, 0.017999235540628433, -0.01716534234583378, 0.014445573091506958, 0.014868932776153088, -0.008326089009642601, 0.021540068089962006, -0.009820680133998394, 0.0033516038674861193, -0.006863571237772703, 0.0016012326814234257, 0.00046625779941678047, -0.014419914223253727, 0.009442221373319626, 0.021976256743073463, 0.01558736339211464, 0.005356151610612869, 0.013104931451380253, -0.0007625299622304738, -0.0013294160598888993, 0.024580566212534904, -0.011308856308460236, 0.03032800555229187, -0.006594160106033087, 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0.004855816252529621, -0.019949259236454964, 0.00048149237409234047, -0.006250981707125902, -0.017691336572170258, -0.005445955321192741, 0.0037910006940364838, -0.01242498867213726, 0.0669679269194603, -0.00747936824336648, -0.015574533492326736, 0.027505602687597275, 0.024336813017725945, 0.0389748215675354, -0.006587745621800423, -0.012655912898480892, 0.022014744579792023, 0.017524557188153267, -0.009442221373319626, -0.015536046586930752, 0.038102444261312485, 0.016613692045211792, 0.021873624995350838, -0.013098516501486301, 0.025080900639295578, 0.019102538004517555, -0.01688310317695141, 0.014137674123048782, 0.012752130627632141, -0.004724318161606789, 0.031610917299985886, -0.024349642917513847, 0.02603025548160076, 0.010269698686897755, -0.007941216230392456, 0.00834533292800188, 0.0005380206275731325, -0.03150828182697296, 0.0002830421435646713, -0.021629871800541878, -0.012681570835411549, 0.01114207785576582, 0.030995119363069534, 0.0018008856568485498, -0.0017800383502617478, 0.021950598806142807, -0.003095021704211831, -0.00533690769225359, 0.018935760483145714, 0.015279464423656464, 0.019384779036045074, 0.009589755907654762, 0.005211824085563421, 0.0006318334490060806, -0.010859837755560875, 0.00035219904384575784, -0.030481955036520958, 0.0026139302644878626, 0.006504356395453215, 0.008229871280491352, -0.03661426529288292, 0.005215031560510397, 0.0012764959828928113, 0.013175491243600845, 0.02907075360417366, 0.0025481809861958027, -0.004807707387953997, -0.012739301659166813, 0.0014464816777035594, -0.0017463619587942958, -0.03435634449124336, 0.004156630020588636, -0.0032634036615490913, -0.016818957403302193, -0.018127525225281715, 0.015061370097100735, 0.00990406982600689, -0.0008860100642777979, 0.01276495959609747, 0.0259789377450943, 0.01045572105795145, 0.034407660365104675, 0.02747994288802147, -0.042566969990730286, 0.014407085254788399, -0.00013610879250336438, -0.013970895670354366, -0.01984662562608719, 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      }
    ) {
      question
      answer
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "Risotto",
          "question": "From the Italian word for rice, it's a rice dish cooked with broth & often grated cheese"
        },
        {
          "answer": "arrabiata",
          "question": "Italian for \"angry\", it describes a pasta sauce spiced up with plenty of chiles"
        },
        {
          "answer": "Fettucine Alfredo",
          "question": "Ribbon-shaped noodles, sweet butter, cream, parmesan cheese & black pepper make up this pasta dish"
        }
      ]
    }
  }
}

向量搜索参数

自 v1.25 起添加

请注意，混合阈值（max_vector_distance）是在 v1.26.3 中后期引入的。

您可以指定向量相似性搜索参数，类似于near text或near vector搜索，例如 group by 和 move to / move away。可以使用 max vector distance 参数指定向量搜索的等效 distance阈值。

PythonJavaScript/TypeScriptJava v6C#

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import HybridVector, Move, HybridFusion

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="California",
    max_vector_distance=0.4,  # Maximum threshold for the vector search component
    vector=HybridVector.near_text(
        query="large animal",
        move_away=Move(force=0.5, concepts=["mammal", "terrestrial"]),
    ),
    alpha=0.75,
    limit=5,
)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('California', {
  maxVectorDistance: 0.4, // Maximum threshold for the vector search component
  vector: {
    query: 'large animal',
    moveAway: { force: 0.5, concepts: ['mammal', 'terrestrial'] }
  },
  alpha: 0.75,
  limit: 5,

})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");

var intermediateResponse = jeopardy.query
    .nearText("large animal",
        c -> c.moveAway(0.5f,
            from -> from.concepts("mammal", "terrestrial")))
    .objects()
    .get(0)
    .vectors()
    .getDefaultSingle();

var response = jeopardy.query.hybrid("California", q -> q
    .maxVectorDistance(0.4f)
    .nearVector(NearVector.of(intermediateResponse))
    .alpha(0.75f)
    .limit(5));

var jeopardy = client.Collections.Use("JeopardyQuestion");

var response = await jeopardy.Query.Hybrid(
    "California",
    maxVectorDistance: 0.4f,
    vectors: v =>
        v.NearText(
            "large animal",
            moveAway: new Move(force: 0.5f, concepts: ["mammal", "terrestrial"])
        ),
    alpha: 0.75f,
    limit: 5
);

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "Rhinoceros",
          "points": 400,
          "question": "The \"black\" species of this large horned mammal can grasp twigs with its upper lip"
        },
        {
          "answer": "the hippopotamus",
          "points": 400,
          "question": "Close relative of the pig, though its name means \"river horse\""
        },
        {
          "answer": "buffalo",
          "points": 400,
          "question": "Animal that was the main staple of the Plains Indians economy"
        },
        {
          "answer": "California",
          "points": 200,
          "question": "Its state animal is the grizzly bear, & the state tree is a type of redwood"
        },
        {
          "answer": "California",
          "points": 200,
          "question": "This western state sent its first refrigerated trainload of oranges back east February 14, 1886"
        }
      ]
    }
  }
}

混合搜索阈值

自 v1.25 起添加

可用的唯一搜索阈值是 max vector distance，它将设置向量搜索组件的最大允许距离。

PythonJavaScript/TypeScriptJava v6C#

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import HybridVector, Move, HybridFusion

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="California",
    max_vector_distance=0.4,  # Maximum threshold for the vector search component
    alpha=0.75,
    limit=5,
)

const jeopardy = client.collections.use('JeopardyQuestion');

const response = await jeopardy.query.hybrid("California", {
  alpha: 0.75,
  maxVectorDistance: 0.4,  // Maximum threshold for the vector search component
  limit: 5,
})

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("California", q -> q
    .maxVectorDistance(0.4f) // Maximum threshold for the vector search component
    .alpha(0.75f)
    .limit(5));

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "California",
    maxVectorDistance: 0.4f, // Maximum threshold for the vector search component
    alpha: 0.75f,
    limit: 5
);

分组结果

自 v1.25 起添加

定义分组搜索结果的标准。

PythonJavaScript/TypeScriptJava v6C#

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

# Grouping parameters
group_by = GroupBy(
    prop="round",  # group by this property
    objects_per_group=3,  # maximum objects per group
    number_of_groups=2,  # maximum number of groups
)

# Query
jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    alpha=0.75,
    query="California",
    group_by=group_by
)

for grp_name, grp_content in response.groups.items():
    print(grp_name, grp_content.objects)

const jeopardy = client.collections.use('JeopardyQuestion');
// Grouping parameters
const groupByProperties = {
  property: "round", // group by this property
  objectsPerGroup: 3, // maximum objects per group
  numberOfGroups: 2 // maximum number of groups
}

const response = await jeopardy.query.hybrid('California', {
  alpha: 0.75,
  groupBy: groupByProperties
})


for (let groupName in response.groups) {
  console.log(groupName)
  // Uncomment to view group objects 
  // console.log(response.groups[groupName].objects)
}

// Query
CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("California", q -> q.alpha(0.75f),
    GroupBy.property("round", // group by this property
        2, // maximum number of groups
        3 // maximum objects per group
    ));

response.groups().forEach((groupName, group) -> {
  System.out.println(group.name() + " " + group.objects());
});

// Query
var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "California",
    alpha: 0.75f,
    groupBy: new GroupByRequest("round") // group by this property
    {
        NumberOfGroups = 2, // maximum number of groups
        ObjectsPerGroup = 3, // maximum objects per group
    }
);

foreach (var group in response.Groups.Values)
{
    Console.WriteLine($"{group.Name} {JsonSerializer.Serialize(group.Objects)}");
}

示例响应

响应如下

'Jeopardy!'
'Double Jeopardy!'

limit & offset

使用 limit 设置要返回的对象的固定最大数量。

可选地，使用 offset 对结果进行分页。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    limit=3,
    offset=1
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('safety', {
  limit: 3,
  offset: 1
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "safety"
limit := 3

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(
  	graphql.Field{Name: "question"},
  	graphql.Field{Name: "answer"},
  	graphql.Field{Name: "_additional", Fields: []graphql.Field{{Name: "score"}}},
  ).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().WithQuery(query)).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .limit(3)
    .offset(1)
);

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    limit: 3,
    offset: 1
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      hybrid: {
        query: "safety"
      }
      limit: 3
    ) {
      question
      answer
      _additional {
        score
      }
    }
  }
}

限制结果组

要将结果限制为与查询距离相似的组，请使用autocut过滤器。在使用 autocut 进行混合搜索时，指定 相对分数融合排名方法。

信息

Autocut 需要 相对分数融合方法，因为它使用实际的相似度分数来检测截断点。不应将 Autocut 与 Ranked Fusion 一起使用，因为此融合方法依赖于排名位置，而不是相似度分数。

要了解有关不同融合算法的更多信息，请访问搜索运算符参考页面。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import HybridFusion

jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    fusion_type=HybridFusion.RELATIVE_SCORE,
    auto_limit=1
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

  const result = await jeopardy.query.hybrid('safety', {
    fusionType: 'RelativeScore',
    autoLimit: 1
  })

  for (let object of result.objects) {
    console.log(JSON.stringify(object.properties, null, 2));
  }

ctx := context.Background()
className := "JeopardyQuestion"
query := "safety"
autocut := 1

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(
  	graphql.Field{Name: "question"},
  	graphql.Field{Name: "answer"},
  	graphql.Field{Name: "_additional", Fields: []graphql.Field{{Name: "score"}}},
  ).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().WithQuery(query)).
  WithAutocut(autocut).
  Do(ctx)

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    fusionType: HybridFusion.RelativeScore,
    autoLimit: 1
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      hybrid: {
        query: "safety"
      }
      autocut: 1
    ) {
      question
      answer
      _additional {
        score
      }
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "Guards",
          "question": "Life, Security, Shin",
          "_additional": {
            "score": "0.75"
          },
        },
        # ... trimmed for brevity
      ]
    }
  }
}

过滤结果

要缩小搜索结果，请使用filter。

PythonJavaScript/TypeScriptGoJava v6C#GraphQL

  API 文档

更多信息文档中的代码片段反映了最新的客户端库和 Weaviate 数据库版本。请查看 发行说明 以获取特定版本。

如果某个片段无法工作或您有任何反馈，请打开一个 GitHub issue。

from weaviate.classes.query import Filter


jeopardy = client.collections.use("JeopardyQuestion")
response = jeopardy.query.hybrid(
    query="food",
    filters=Filter.by_property("round").equal("Double Jeopardy!"),
    limit=3,
)

for o in response.objects:
    print(o.properties)

const jeopardy = client.collections.use('JeopardyQuestion');

const result = await jeopardy.query.hybrid('food', {
  filters: jeopardy.filter.byProperty('round').equal('Double Jeopardy!'),
  limit: 3,
})

for (let object of result.objects) {
  console.log(JSON.stringify(object.properties, null, 2));
}

ctx := context.Background()
className := "JeopardyQuestion"
query := "food"
limit := 3

filter := filters.Where().
  WithPath([]string{"round"}).
  WithOperator(filters.Equal).
  WithValueString("Double Jeopardy!")

result, err := client.GraphQL().Get().
  WithClassName(className).
  WithFields(graphql.Field{Name: "question"}, graphql.Field{Name: "answer"}, graphql.Field{Name: "round"}).
  WithHybrid(client.GraphQL().HybridArgumentBuilder().WithQuery(query)).
  WithWhere(filter).
  WithLimit(limit).
  Do(ctx)

CollectionHandle<Map<String, Object>> jeopardy =
    client.collections.use("JeopardyQuestion");
var response = jeopardy.query.hybrid("food", q -> q
    .filters(Filter.property("round").eq("Double Jeopardy!"))
    .limit(3));

for (var o : response.objects()) {
  System.out.println(o.properties());
}

var jeopardy = client.Collections.Use("JeopardyQuestion");
var response = await jeopardy.Query.Hybrid(
    "food",
    filters: Filter.Property("round").IsEqual("Double Jeopardy!"),
    limit: 3
);

foreach (var o in response.Objects)
{
    Console.WriteLine(JsonSerializer.Serialize(o.Properties));
}

{
  Get {
    JeopardyQuestion(
      limit: 3
      hybrid: {
        query: "food"
      }
      where: {
        path: ["round"]
        operator: Equal
        valueText: "Double Jeopardy!"
      }
    ) {
      question
      answer
      round
    }
  }
}

示例响应

输出如下所示

{
  "data": {
    "Get": {
      "JeopardyQuestion": [
        {
          "answer": "food stores (supermarkets)",
          "question": "This type of retail store sells more shampoo & makeup than any other",
          "round": "Double Jeopardy!"
        },
        {
          "answer": "Tofu",
          "question": "A popular health food, this soybean curd is used to make a variety of dishes & an ice cream substitute",
          "round": "Double Jeopardy!"
        },
        {
          "answer": "gastronomy",
          "question": "This word for the art & science of good eating goes back to Greek for \"belly\"",
          "round": "Double Jeopardy!"
        }
      ]
    }
  }
}

词元化

Weaviate 将过滤器术语转换为词元。默认词元化是 word。word 词元化器保留字母数字字符，将它们转换为小写，并在空格处拆分。它将字符串 "Test_domain_weaviate" 转换为 "test"、"domain" 和 "weaviate"。

有关详细信息和附加词元化方法，请参阅词元化。

相关页面

• 连接到 Weaviate
• API 参考：搜索运算符 # 混合
• 关于混合融合算法。
• 有关教程，请参阅查询
• 有关使用 GraphQL API 进行搜索，请参阅GraphQL API。

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