Once we've converted all our data to vectors, we can start to build our own model, the idea behind is very simple, every time we ask the bot, first we convert the question to a vector, then we search into our database which vector is more similar to the question, and finally we use the most similar data to the question and add it as a context.
void AskToChatGPT(const std::string& aQuestion)
{
TsgcAIOpenAIChatBot* oChatBot = new TsgcAIOpenAIChatBot(NULL);
try
{
oChatBot->OpenAIOptions->ApiKey = "<your api key>";
TsgcAIOpenAIEmbeddings* oEmbeddings = new TsgcAIOpenAIEmbeddings(NULL);
try
{
oChatBot->Embeddings = oEmbeddings;
TsgcAIDatabaseVectorFile* oFile = new TsgcAIDatabaseVectorFile(NULL);
try
{
oEmbeddings->Database = oFile;
std::string vContext = oChatBot->GetEmbedding(aQuestion);
std::string message = "Answer the question based on the context below.\n\nContext:\n" +
vContext + "\nQuestion:" + aQuestion + "\nAnswer:";
oChatBot->ChatAsUser(message.c_str());
}
__finally
{
delete oFile;
}
}
__finally
{
delete oEmbeddings;
}
}
__finally
{
delete oChatBot;
}
}