From the course: OpenAI API for Python Developers
Unlock the full course today
Join today to access over 24,900 courses taught by industry experts.
Getting started with LangChain
From the course: OpenAI API for Python Developers
Getting started with LangChain
- [Instructor] A typical business use case is to implement a customer support chatbot trained on custom knowledge in order to provide a tailored user experience. For the upcoming projects, we're going to use the OpenAI APIs and the LangChain framework. The LangChain framework is a web development toolkit designed for building applications powered by the language models. And it is particularly useful for developers who want to easily integrate an intelligence layer into their web projects. And it supports several programming languages, including Python. And so LangChain comes with plenty of benefits. It is flexible. It allows an easy integration with a high degree of control over the language model's behavior with many options for fine-tuning and customizations to fit specific application needs. In the next example, we're going to build a custom chatbot trained on custom knowledge for a fictitious shoe company called ABC shoes. And so we're going to use the OpenAI language models that…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
-
-
-
-
-
(Locked)
Getting started with LangChain2m 24s
-
(Locked)
LangChain key concepts4m 40s
-
(Locked)
Chain components (LCEL)2m 49s
-
(Locked)
Load and split documents3m 17s
-
(Locked)
Create a vector store and embeddings (Chroma)3m 4s
-
(Locked)
Run chains: Knowledge retrieval and content generation5m 22s
-
(Locked)
Create a user interface with Streamlit4m 35s
-
(Locked)
-