This series dives into how to use LangChain, based on the LangChain Quickstart guide.
In this post, we’ll explore how to deploy LangChain agents as a REST API using LangServe.

Recap of the Previous Post

In our last post, we created an agent that combines tools for answering LangChain-related queries with internet search capabilities.
Here’s a recap of the code we used:

In this series, we explore the ‘Quickstart’ section of the LangChain documentation.

Previously, we developed chains that operated on predefined steps. In this article, we explore how the LLM chooses the right tools for processing based on user input, introducing the concept of an agent.

A Recap

In a previous post, we built a retriever from LangChain’s documentation.
Let’s revisit that setup:

In this post, we continue our journey through LangChain’s Quickstart guide, exploring how to enhance your chains by integrating conversation history.

Recap of Our Progress

Here’s what we’ve set up so far:

• retriever: Retrives a list of relevant documents based on the input text.
• document_chain: Generates LLM responses using the user’s questions and the list of documents.
• create_retrieval_chain: Combines retriever and document_chain to answer queries by referencing documents.

In this series, we’ll explore the ‘Quickstart’ section of the LangChain documentation.
In this article, we discuss how to expand LLM knowledge using information on the internet.

Below, I outline the sections of code from our previous article that we’ll use again in this article.

In this series, we’ll explore the ‘Quickstart’ section of the LangChain documentation.
In this article, we focus on LLMs, prompt templates, and chains.

1. Installation

To get started, install langchain and its OpenAI extension, langchain-openai:

Continuing from the previous “Hello World” program, this session dives into building a memo app with the following functionalities:

1. A text box for entering a memo.
2. A shortcut (Control+S) for saving the contents of the text box to a file.
3. Displaying the file contents in the text box upon app launch.

1. Setting Up the Text Box

Let’s get started by building on our previous program. First, we create the root window and place a frame inside it. Within this frame, we’ll set up the text box for memo entry.