[Python] {'ok': 0.0, 'errmsg': 'value must be of type array', 'code': 2, 'codeName':...

Discussão em 'Python' iniciado por Stack, Junho 4, 2025.

  1. Stack

    Stack Membro Participativo

    I am using this code below where every time i am getting this issue even my query_vector is of of 100 dimension and all are float values. I am getting problem at this position results = list(self.collection.aggregate(pipeline))

    def _get_relevant_documents(self, query: str) -> List[Document]:
    query_vector = self.embedding_model.embed_query(query)
    print("query_vector",type(query_vector))
    if hasattr(query_vector, "tolist"):
    query_vector = query_vector.tolist()
    print("query_vector2",type(query_vector))
    query_vector1 = [float(x) for x in query_vector]
    query_vector = query_vector1[:100]
    cosmos_search_stage = {
    "$search": {
    "cosmosSearch": {
    "vector": {
    "path": "embedding",
    "queryVector": query_vector,
    "k": self.top_k,
    "similarity": "COS"
    }
    }
    }
    }

    if self.keyword:
    cosmos_search_stage["$search"]["cosmosSearch"]["text"] = {
    "path": "description",
    "query": self.keyword
    }

    pipeline = [cosmos_search_stage]
    results = list(self.collection.aggregate(pipeline))

    Continue reading...

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