langchain+chatgpt打造私有文档数据的问答系统代码
代码语言:python
所属分类:其他
代码描述:langchain+chatgpt打造私有文档数据的问答系统代码,给他一篇文档数据,chatgpt就可以帮你回答文档的内容,可设置temperature,max_tokens,max_chunk_overlap等参数。
代码标签: langchain chatgpt 打造 私有 文档 数据 问答 系统 代码
下面为部分代码预览,完整代码请点击下载或在bfwstudio webide中打开
from llama_index import SimpleDirectoryReader, LangchainEmbedding, GPTListIndex,GPTSimpleVectorIndex, PromptHelper, LLMPredictor, ServiceContext from langchain import OpenAI import gradio as gr import sys import os os.environ["OPENAI_API_KEY"] = 'key' def construct_index(directory_path): # define LLM # set maximum input size max_input_size = 4096 # set number of output tokens num_output = 256 # set maximum chunk overlap max_chunk_overlap = 20 llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=num_output)) # define prompt helper prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap) service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper) documents .........完整代码请登录后点击上方下载按钮下载查看
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