# Python 示例代码defnlp_to_sql(query:str)->str:# 假设这里有处理逻辑return"SELECT * FROM table WHERE column = 'value';" 1. 2. 3. 4. 团队经验总结:使用NLP工具能够明显提高工作效率,尤其是在复杂查询条件构建时。 下面是相关的代码变更影响示意图: sankey-beta A[原始SQ
sql_query = 'select * from indexName WHERE = "MTJJ" AND age <> "38"' try: json_response = execute_sql_and_get_json_response(sql_query) # 如果需要将响应内容转化为Python字典,可以使用 json.loads 方法 python_dict_response = json.loads(json_response) #对python_dict_response进行后续处理 pr...
首先我们需要初始化一个Retriever,Retriever的作用是进行向量的抽取,实际使用的是DensePassageRetriever,DensePassageRetriever使用的是2个编码器模型,其中一个用来编码query文本,另一个编码passage文本,编码之后在检索阶段就比较query和passage两个向量。 # 抽向量的batch_sizeretriever_batch_size=16# gpu的开关use_gpu=Tru...
class Milvus2DocumentStore(SQLDocumentStore): def __init__(...): # save init parameters to enable export of component config as YAML self.set_config(...) def write_documents(...): ... def update_embeddings(...): ... def query_by_embedding(...): ... def delete_documents(.....
743] [ INFO] - Already cached /home/aistudio/.paddlenlp/models/rocketqa-zh-nano-query-encoder/rocketqa-zh-nano-query-encoder.pdparams [2022-11-16 18:21:19,032] [ INFO] - We are using <class 'paddlenlp.transformers.ernie.tokenizer.ErnieTokenizer'> to load 'rocketqa-zh-nano-query-encoder...
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Inductive Logical Query Answering in Knowledge Graphs Formalizing Coherence and Consistency Applied to Transfer Learning in Neuro-Symbolic Autoencoders CoNSoLe: Convex Neural Symbolic Learning ...
python:- 3.7 OS:- Ubuntu 16.04 Libraries:- 1. MySQLdb 2. speech_recognition Currently the databaseis fixed to school.sql in database_store folder. If you want to use a different SQL database, you can change it in the program or change the school.sql file. ...
elasticsearch-sqlPublic Use SQL to query Elasticsearch Java7,008Apache-2.01,5413240UpdatedApr 3, 2025 nlp-langPublic 这个项目是一个基本包.封装了大多数nlp项目中常用工具 NLPchina/nlp-lang’s past year of commit activity Java1,501Apache-2.0499141UpdatedApr 18, 2024 ...
CV document_distiller = DocumentsDisiller(llm_model = openai_llm_model)信息提炼：IE_query = ''...
数据简化DataSimp导读:介绍自然语言处理中的预训练技术发展史:从WordEmbedding、ELMO、GPT到Bert模型。附新浪微博AILab张俊林博士简历。读完《自然语言处理NLP技术里程碑、知识结构、研究方向和机构导师》和本文《自然语言处理中的预训练技术发展史:从WordEmbedding到Bert模型》,再读《谷歌AI论文BERT双向编码器表征模型:机器...