{stringsqlQuery ="select id,name,1-(cast(@embedding as vector) <=> embedding) as result from public.imagevector";returndb.Query<QueryVectorResult>(sqlQuery,new{ embedding =imageVector }); } }
[KernelFunction][Description("根据用户的输入生成和执行 SQL 并返回 Markdown 形式的表格数据")]publicasyncTask<string>QueryAsync([Description("用户输入")]stringinput,Kernelkernel){vartableDescriptor=awaitGetTableDescriptorsAsync("Chinook");vardatabaseSchema=GeneratorDatabaseSchema(tableDescriptor);varpromptTemp...
We’ve heard from many in the community who want to use Semantic Kernel to query their relational database using natural language expressions. We are excited to share this sandbox that enables you explore the capabilities of LLM to generate SQL queries (or SELECT statements):NL2SQL. This has ...
string sqlQuery = "select id,name,1-(cast(@embedding as vector) <=> embedding) as result from public.imagevector "; return db.Query<QueryVectorResult>(sqlQuery, new { embedding = imageVector }); } } 1. 2. 3. 4. 5. 6. 7. 8....
[KernelFunction("Execute"),Deion("用于执行不需要返回结果的SQL语句,返回是否执行成功,通常用于增删改操作。")]publicasyncTask<bool> ExecuteAsync([Deion("需要执行的Sqlite的Sql语句")]stringsql){varresult =awaitFreeSql.Ado.ExecuteNonQueryAsync(sql);returnresult >0;}[KernelFunction("Query"),Deion("用于执...
Showing results for 2023 | Page 4 of 7 | Semantic Kernel Aug 4, 2023 Post comments count1 Post likes count7 Use natural language to execute SQL queries Chris, Nilesh We've heard from many in the community who want to use Semantic Kernel to query their relational database using natural...
Semantic Kernel 视角下的 Text2SQL 实践与思考的答案如下：Text2SQL的实践：定义与目的：Text2SQL技术旨在将大型模型与关系型数据库连接，使大模型能够生成SQL语句，从而直接从数据库中获取信息。实现步骤：获取数据库Schema：了解数据库中的表和字段。代码生成Schema信息：通过代码生成的方式，将数据库...
Console.WriteLine("===\n"+"Query: "+ ask +"\n");varmemories = myKernel.Memory.SearchAsync(memoryCollectionName, ask, limit:5, minRelevanceScore:0.77);vari =0;awaitforeach(MemoryQueryResult memoryinmemories) { Console.WriteLine($"Result{++i}:...
("C://GPT/just-agi-db.txt"))){stringsqlQuery =@"INSERT INTO public.imagevector (name, embedding)VALUES (@Name, @Embedding)RETURNING id;"varparameters =new{Name = imageVector.Name,Embedding = imageVector.Embedding};varid = db.ExecuteScalar<int>(sqlQuery, parameters);imageVector.Id = id...
这个函数名是 `query_database`。输入为一个 SQL 表达式 它可以放到目录结构中,在 [demo/MyPlugins/DBPlugin.py](demo/MyPlugins/DBPlugin.py) 里加入。 1. 2. 3. 4. 5. 6. 7. 8. 9. 然后我们再来看Semantic Kernel提供的,对Native Functions本地函数的调用,看一个例子. ...