metric type BM25 not found or not supported, supported: IP

[Djcloveml]

class MilvusManager:
def init(self, uri="rag_data.db", token="root:Milvus"):
self.client = MilvusClient(uri, token=token)
self.collection_name = "rag_environmental_report"

def create_collection(self):
    """创建Milvus集合"""
    try:
        if self.client.has_collection(self.collection_name):
            logger.info("集合已存在，正在删除")
            self.client.drop_collection(self.collection_name)
        
        schema = MilvusClient.create_schema()
        schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True,auto_id=True)
        schema.add_field(field_name="text",
             datatype=DataType.VARCHAR,
             max_length=1000,
             enable_analyzer=True,
             )
        schema.add_field(field_name="sparse", datatype=DataType.SPARSE_FLOAT_VECTOR)
        schema.add_field(field_name="dense", datatype=DataType.FLOAT_VECTOR, dim=1024)
        

        bm25_function = Function(
            name="text_bm25_emb", # Function name
            input_field_names=["text"], # Name of the VARCHAR field containing raw text data
            output_field_names=["sparse"], # Name of the SPARSE_FLOAT_VECTOR field reserved to store generated embeddings
            function_type=FunctionType.BM25, # Set to BM25
        )

        schema.add_function(bm25_function)


        index_params = self.client.prepare_index_params()

        index_params.add_index(
            field_name="sparse",
            index_name="sparse_inverted_index",
            index_type="SPARSE_INVERTED_INDEX", # Inverted index type for sparse vectors
            metric_type="BM25",
        )

        index_params.add_index(
            field_name="dense",
            index_name="dense_index", 
            index_type="IVF_FLAT",
            metric_type="IP",
            params={"nlist": 128},
        )

        
        
        self.client.create_collection(
            collection_name=self.collection_name,
            schema=schema,
            index_params=index_params,
        )
        logger.info("集合创建成功")
    except Exception as e:
        logger.error(f"创建集合时发生错误: {str(e)}")
        raise

[yhmo]

The script works well on my local (pymilvus v2.5.5 + milvus v2.5.8).
Double-check your milvus version, BM25Function is supported from v2.5.0. Upgrade your milvus to the latest version v2.5.8

[Djcloveml]

Milvus Lite还不支持bm25function吗

[xiaofan-luan]

Milvus Lite还不支持bm25function吗

正在做了，应该快发布了～