Find which table to use Find which column to use Construct the correct sql query Execute that query Get the result Return a natural language reponse back confirm LLM result via pandasimport sqlite3 import pandas as pd # Connect to the SQLite database connection = sqlite3.connect(sqlite_db_pat...
" {context} 问题: {question} 有用的回答:""" QA_CHAIN_PROMPT = PromptTemplate(input_variables=["context", "question"], template=template) qa_chain = RetrievalQA.from_chain_type(llm, retriever=vectorstore.as_retriever(), return_source_documents=True, chain_type_kwargs={"prompt": QA_CHAIN...
Find which table to use Find which column to use Construct the correct sql query Execute that query Get the result Return a natural language reponse back confirm LLM result via pandas 代码语言:javascript 复制 import sqlite3 import pandas as pd # Connect to the SQLite database connection = sqli...
immediate economic relief for tens of millions of Americans. \n\nHelped put food on their table, keep a roof over their heads, and cut the cost of health insurance. \n\nAnd as my Dad used to say, it gave people a little breathing room.', metadata={'source': 'state_of_the_union....
from langchain.llms.openai import OpenAI db = SQLDatabase.from_uri("sqlite:///../notebooks/Chinook.db") toolkit = SQLDatabaseToolkit(db=db) agent_executor = create_sql_agent( llm=OpenAI(temperature=0), toolkit=toolkit, verbose=True ) agent_executor.run("Describe the playlisttrack table"...
chain.run(input_documents=docs, question=query) 使用GPT3.5模型构建油管频道问答机器人 在chatgpt api(也就是 GPT-3.5-Turbo)模型出来后,因钱少活好深受大家喜爱,所以 LangChain 也加入了专属的链和模型,我们来跟着这个例子看下如何使用他。 importosfromlangchain.document_loadersimportYoutubeLoaderfromlangchain...
from sqlalchemy import Column, Integer, String, DateTime, func from server.db.base import Base class KnowledgeBaseModel(Base): """ 知识库模型 """ __tablename__ = 'knowledge_base' id = Column(Integer, primary_key=True, autoincrement=True, comment='知识库ID') kb_name = Column(String(50...
Document(page_content='overall performance of the Baichuan 2 base models\ncompared to other open or closed-sourced models\nin Table 1. We then describe our pre-training data\nand data processing methods. Next, we elaborate\non the Baichuan 2 architecture and scaling results.\nFinally, we descri...
conn.commit()print("CVE table created"); 值得说明的是,这里我给列增加了备注,以帮助后续的LLM更好地理解每列数据的含义。通常而言,在提供给LLM的输入中每个词都很重要(Every word counts in large language models)。 导入数据 读取csv数据,导入表中: ...
The term upsert refers to an operation that inserts rows into a database table if they don't already exist, or updates them if they do.Figure 27: The steps performed by the Upsert button Clicking the Upsert button performs a few operations: text splitting on the PDF document, creating ...