Build a Real-World App with Langchain & OpenAI Functions

This video is a project-based language course that covers building a real-world application with Langchain and OpenAI.

The project involves creating a REST API for a chatbot using SQL and vector databases, Docker, and FastAPI.

The video provides a walkthrough of the project architecture and explains how to install the required dependencies.

🔍 Creating a lightweight and local SQL database using SQLite.

📊 Loading and processing text data to create vectors for semantic search.

💬 Setting up an interface for a chatbot using prompt templates.

📚 The video discusses the use of Langchain and OpenAI Functions to build a real-world app.

🔧 The Functions in OpenAI's latest version can interact with databases, making it easy to query and manipulate data.

🍕 The video demonstrates the creation of functions to get information about pizzas, create orders, and write reviews using SQL and Vector databases.

📚 The video explains how to use the Retriever and Langchain functions in Python to build a real-world application.

🔑 The API functions are stored in a dictionary and accessed using keys, allowing for easy retrieval of the correct function.

🍕 The video demonstrates how to create a dictionary of pizza objects and initialize them in a database.

📚 The video explains how to use the Langchain and OpenAI Functions to build a real-world app.

💡 By passing the message and query to the Langchain Language Model (LLM) along with the function definitions, the LLM can determine whether to call a function or suggest a function call.

⚙️ If a function call is needed, the LLM provides the function name and arguments, which are then used to call the appropriate function and return the result.

📚 Creating models and fast API endpoints in the app.

🔌 Setting up lifecycle hooks for database connections and database removal.

💬 Creating the conversation endpoint for user queries and generating responses.

📝 Additional endpoints for retrieving reviews and orders.

🐳 Running the app in Docker and creating a Docker image.

✅ The video demonstrates the creation of a real-world application using Langchain and OpenAI.

💬 The application allows users to have conversations with a bot and perform actions such as creating reviews and placing orders.

🔍 The application successfully retrieves and displays information from a Vector store and interacts with a database.