Build a Real-World App with Langchain & OpenAI Functions
Learn to build a real-world app with Langchain, OpenAI, SQL and vector databases, fast API, and Docker. Create a local database, vector store, and chatbot interface. Use Langchain and OpenAI Functions to interact with databases and build business logic.
00:00:00 Learn how to build a real-world application with Langchain, OpenAI, SQL databases, vector databases, fast API, and Docker in this intermediate project-based course.
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.
00:05:33 Learn how to create a real-world app using Langchain & OpenAI Functions. Explore creating a local database, vector store, and a chatbot interface.
🔍 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.
00:11:06 Build functions to interact with SQL and Vector databases using OpenAI's LLM and Langchain. Includes getting pizza info, creating orders and reviews, and querying the Vector database.
📚 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.
00:16:39 Build a real-world app using Langchain and OpenAI Functions. Learn about Retriever, Quarks, and creating functions. Use Python to pass function definitions to OpenAI.
📚 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.
00:22:12 A guide on using Langchain & OpenAI Functions. Pass in query and functions to llm, extract message, call function if needed, send response. Business logic with OpenAI.
📚 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.
00:27:44 Learn how to build a real-world app using Langchain & OpenAI Functions, including creating API endpoints, connecting to a database, and running the app in Docker.
📚 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.
00:33:16 Learn how to build a real-world app using Langchain and OpenAI Functions in this comprehensive course.
✅ 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.
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