Master the usage of LangChain, Pinecone, and OpenAI to develop hands-on generative applications powered by large language models (LLMs).

Learn to create powerful web-based front-ends for your generative applications using Streamlit.

This course will equip you with a solid understanding of the fundamentals of LangChain, Pinecone, and OpenAI, while enabling you to build modern front-ends using Streamlit in pure Python. Prior essential Python programming experience is recommended as this course is the second part of the "OpenAI API with Python Bootcamp". Prepare yourself for the AI revolution that is reshaping society with the extensive efforts, knowledge, and investments being made by major technology corporations worldwide.

Course Topics:

LangChain Fundamentals

Environment Setup with Dotenv: LangChain, Pinecone, OpenAI

LLM Models (Wrappers): GPT-3

ChatModels: GPT-3.5-Turbo and GPT-4

LangChain Prompt Templates

Simple Chains

Sequential Chains

Introduction to LangChain Agents

LangChain Agents in Action

Vector Embeddings

Introduction to Vector Databases

Deep Dive into Pinecone

Deep Dive into Chroma

Splitting and Embedding Text Using LangChain

Inserting the Embeddings into a Pinecone Index

Questioning (Similarity Search) and Retrieving Answers (GPT-4)

Creating Front-ends for LLM and Generative AI Apps using Streamlit

Streamlit: Main Concepts, Widgets, Session State, Callbacks