GPT实现从任何网站上筛选和回答(与Chromadb、Trafilatura合作)

Table of Contents

1. Introduction
2. Building a GPT Power Q&A Board
3. Setting Up the Environment
4. Installing Dependencies
5. Scraping Website Data
6. Creating an Embedding Store
7. Querying the Website
8. Asking Questions
9. Generating Answers
10. Conclusion

Introduction

In this article, we will explore how to build a GPT Power Q&A Board to chat with any website and retrieve answers directly from the website itself. We will be using the example of the supertype.AI Website for demonstration purposes.

Building a GPT Power Q&A Board

To build a GPT Power Q&A Board, we will need to set up the environment, install the necessary dependencies, scrape website data, Create an embedding store, and perform queries to get answers to our questions. We will also discuss how to ask questions and generate accurate answers using GPT.

Setting Up the Environment

First, we need to set up our development environment by importing the necessary modules and loading the environment variables using the load_dotenv function.

Installing Dependencies

Next, we need to install the required dependencies, including lava-index and chroma, which are used for storing embeddings and indexing documents.

Scraping Website Data

To retrieve data from the website, we will use the trophylla-tura web reader. We will pass in the URLs of the website pages we want to scrape and use the load_data function to load the data into our index.

Creating an Embedding Store

We will create an embedding store using chroma to store the embeddings retrieved from the website. This will allow us to perform efficient queries later on.

Querying the Website

To query the website, we will define a function called query_page that takes a collection and a list of URLs as parameters. This function will use the trophylla-tura web reader to load the data from the specified URLs into the index.

Asking Questions

We can then ask questions to our GPT Power Q&A Board by defining a function called ask_questions that takes a collection and a list of questions as parameters. This function will iterate through each question, query the index for answers, and print the answers.

Generating Answers

The GPT Power Q&A Board will use the index.query function to generate answers Based on the given question. The answers will be printed to the console.

Conclusion

In this article, we have learned how to build a GPT Power Q&A Board that can chat with any website and retrieve answers directly from the website itself. We have covered the process of setting up the environment, installing dependencies, scraping website data, creating an embedding store, querying the website, asking questions, and generating answers. Now it's your turn to put this knowledge into practice and build your own interactive Q&A board!

Highlights:

• Learn how to build a GPT Power Q&A Board
• Retrieve answers directly from any website
• Set up the development environment
• Install the necessary dependencies
• Scrape website data using trophylla-tura web reader
• Create an embedding store using chroma
• Perform queries to get accurate answers
• Ask questions and generate responses with GPT

FAQ

Q: What is a GPT Power Q&A Board? A: A GPT Power Q&A Board is a chatbot that uses the power of GPT (Generative Pre-trained Transformer) to retrieve answers directly from a website by scraping its data.

Q: How accurate are the answers generated by the GPT Power Q&A Board? A: The accuracy of the answers depends on the quality of the data scraped from the website and the training of the GPT model. However, with proper setup and fine-tuning, the answers can be quite accurate.

Q: Can I use the GPT Power Q&A Board with any website? A: Yes, the GPT Power Q&A Board can be used with any website as long as you have permission to scrape its data. Simply provide the URLs of the website pages you want to scrape.

Q: What are the advantages of using a GPT Power Q&A Board? A: A GPT Power Q&A Board allows users to interact with a website and retrieve information directly, without the need to browse through multiple pages or search for specific information manually. It provides a more efficient and user-friendly way to access website data.