本文主要讲述的是LangChain Experssion Language的How to示例集之全部来自官网。相当于自己理解看一遍代码,如果有问题的话欢迎来评论。为了让大家不会觉得看不下去,我分了两篇文章《LangChain Experssion Language之How to(一)》和《LangChain Experssion Language之How to(二)》(二先挂在了CSDN上: LangChain Expe...
为了让大家不会觉得看不下去,是的,我分了两篇文章《LangChain Experssion Language之How to(一)》和《LangChain Experssion Language之How to(二)》。下面来简单看看这篇文章里的示例吧。 LangChain Experssion Language示例大赏 Create a runnable with the `@chain` decorator:chain chain 可以利用chain定义你的...
To build a prompt template in LangChain, simply install LangChain and OpenAI modules to set up an environment using the OpenAI API key. After that, create a prompt template for a single prompt like asking for a joke or a single question about anything. Another method is customizing a templa...
It is very straightforward to build an application with LangChain that takes a string prompt and returns the output. API_KEY ="..." from langchain.llms import OpenAI llm = OpenAI(model_name="text-ada-001", openai_api_key=API_KEY) print(llm("Tell me a joke about data scientist")) ...
Both the SerpAPI key and OpenAI API key are successfully obtained. Now, we move to the main project where we use them in our code. Integrating the SerpAPI with LangChain We need to have some installed dependencies in our project. Here, we install three packages – LangChain, OpenAI, and...
API key Custom Network isolationIf your hub is configured for network isolation, you might need to create an outbound private endpoint rule to connect to Azure Blob Storage, Azure Data Lake Storage Gen2, or Microsoft OneLake. A private endpoint rule is needed if one or both of the followin...
The API key is the most common third-party connection type. Custom Custom connections allow you to securely store and access keys while storing related properties, such as targets and versions. Custom connections are useful when you have many targets that or cases where you wouldn't need a ...
Issue you'd like to raise. So, I've tried to create a custom callback and try to return a stream but got no luck: class MyCallbackHandler(BaseCallbackHandler): def on_llm_new_token(self, token, **kwargs) -> None: # print every token on a...
This sample shows how to create two Azure Container Apps that use OpenAI, LangChain, ChromaDB, and Chainlit using Terraform. - paolosalvatori/container-apps-openai
Today I'm going to show you how to build your first blockchain application! Let's create a todo list powered by Ethereum smart contracts. First, we'll create a smart contract with the Solidity programming language. Then, we'll write tests against the sma