Chat Model with Memory embedding 和向量存储 Agent 二、使用 LangChain 搭建自定义应用 LangChain 使用本地自定义模型 本地知识库的构建 在线检索的实现 参考资料 一、认识 LangChain LangChain 是一个用于开发由语言模型驱动的应用程序的框架。 它提供了一套工具、组件和接口,可简化创建由大型语言模型 (LLM) ...
得到的只是模板结果,之后还需要chain去具体执行 by integrating LLM with this template。 fromlangchain.promptsimport(ChatPromptTemplate,SystemMessagePromptTemplate,AIMessagePromptTemplate,HumanMessagePromptTemplate, )system_template="You are a professional translator that translates {src_lang} to {dst_lang}."...
https://fastapi.tiangolo.com/zh/tutorial/sql-databases/ https://fastapi.tiangolo.com/zh/tutorial/bigger-applications/如果你是web服务的新手，建议从头阅读fastapi的教程文档，写的非常好。https://fastapi.tiangolo.com/zh/tutorial/first-steps/我们先以上面openai的官方示例，来看一下如何使用fastapi来编写服务...
# Construct the ReAct agent agent = create_react_agent(llm, tools, prompt) # Create an agent executor by passing in the agent and tools agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) message1 = agent_executor.invoke({"input": "what is LangChain?"}) print(f"mess...
A LangChain tutorial to build anything with large language models in Python 使用Python构建大型语言模型的LangChain教程 Welcome to LangChain! Since the release of ChatGPT, large language models (LLMs) have gained a lot of popularity. Although you probably don’t have enough money and computational...
model, and then pass the output through an (optional) output parser.\nNext steps\u200b\nWe've touched on how to build an application with LangChain, how to trace it with LangSmith, and how to serve it with LangServe.\n"}]I shouldreadthe LangChain tutorial to learnmoreabout Lang...
Checked other resources I added a very descriptive title to this issue. I searched the LangChain documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. I am sure that this is a b...
Lagent:一个轻量级、开源的基于大语言模型的智能体(agent)框架 InternLM:一个开源的轻量级训练框架,旨在支持大模型训练而无需大量的依赖 首先我们需要将上述远程开源仓库 Clone 到本地,可以使用以下命令: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ...
•Yeager.ai[34]: Yeager.ai Agent是第一个为Langchain设计的代理创建器,旨在帮助您轻松构建、原型设计和部署AI驱动的代理。Yeager.ai Agent强调灵活性、交互性和无缝集成,是开发人员、研究人员和AI爱好者的理想工具。 服务 •GPTCache[35]: 一个用于创建LLM查询的语义缓存的库•Gorilla[36]: 一个LLM的API...
LangGraphis a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Check out an introductory tutorialhere. LangGraph is inspired byPregelandApache Beam. The public interface draws inspiration fromNetworkX. LangGraph is built by LangChain...