Langchain

langchain技术要点

Langchain是利用大语言模型开发下游应用的最优实现

Langchain conceptual 理解
LC Documentation
高度集成：支持各种外部文件，数据库，文件系统等等，与大语言模型进行结合
执行（agent）：使得大语言模型可以通过决策(decision making)和环境交互

核心：

Agents and Chains:

Chains代表执行复杂的集成任务，例如发起http请求，和数据库交互，实现网页搜索等等。

Chains

Agent根据不同的问题，决定执行下游chain

Agent

**Prompt:内部的实现是通过定制化的prompt多次与大语言模型进行交互，使得其具备逻辑思考，动作执行的能力

# flake8: noqa
PREFIX = """Answer the following questions as best you can. You have access to the following tools:"""
FORMAT_INSTRUCTIONS = """Use the following format:

Question: the input question you must answer
Thought: you should always think about what to do
Action: the action to take, should be one of [{tool_names}]
Action Input: the input to the action
Observation: the result of the action
... (this Thought/Action/Action Input/Observation can repeat N times)
Thought: I now know the final answer
Final Answer: the final answer to the original input question"""
SUFFIX = """Begin!

Question: {input}
Thought:{agent_scratchpad}"""