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FastAPI Cookbook

You're reading from   FastAPI Cookbook Develop high-performance APIs and web applications with Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805127857
Length 358 pages
Edition 1st Edition
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Author (1):
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Giunio De Luca Giunio De Luca
Author Profile Icon Giunio De Luca
Giunio De Luca
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: First Steps with FastAPI 2. Chapter 2: Working with Data FREE CHAPTER 3. Chapter 3: Building RESTful APIs with FastAPI 4. Chapter 4: Authentication and Authorization 5. Chapter 5: Testing and Debugging FastAPI Applications 6. Chapter 6: Integrating FastAPI with SQL Databases 7. Chapter 7: Integrating FastAPI with NoSQL Databases 8. Chapter 8: Advanced Features and Best Practices 9. Chapter 9: Working with WebSocket 10. Chapter 10: Integrating FastAPI with other Python Libraries 11. Chapter 11: Middleware and Webhooks 12. Chapter 12: Deploying and Managing FastAPI Applications 13. Index 14. Other Books You May Enjoy

Integrating FastAPI with LangChain

LangChain is a versatile interface for nearly any Large Language Model (LLM) that allows developers to create LLM applications and integrate them with external data sources and software workflows. It was launched in October 2022 and quickly became a top open source project on GitHub.

We will use LangChain and FastAPI to create an AI-powered assistant for an electronic goods store that provides recommendations and helps users.

We will set up a Retrieval-Augmented Generation (RAG) application, which involves empowering the model with personalized data to be trained. In this particular case, that would be a document of frequently asked questions.

This recipe will guide you through the process of integrating FastAPI with LangChain to create dynamic and interactive AI assistants that enhance the customer shopping experience.

Getting ready

Before starting the recipe, you will need a Cohere API key. If you don’t have it, you can check...

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