GPT-4 Enhanced with Real-Time Web Browsing

Languages / 语言: English | 中文

GPT-4's extensive knowledge base covers a wide range of topics but is limited to historical data. To address this, we've integrated web browsing into GPT-4, connecting its advanced language processing to the internet. 🔗

This upgrade enables access to the latest information, enhancing the model's relevance and efficiency in real-time data retrieval, and is much faster than web-browsing on the GPT web page.

You may consider this as a tiny implementation of the new Bing and Bard, primarily for search engines and Q&A.

Please give me a star if you like it! 🌟

Features

• Rapid real-time web search through Serper (Google API)

• Automatically adjusts web search and response language based on input

• Multi-threading to extract main content from web pages, reducing embedding costs

• Semantic search with OpenAI Embedding and ChromaDB

• LLM responses generated with references and web sources

• Supports customization of models, AI roles, and output formats

• Matches each quoted sentence in the AI’s response to the title, snippet, and link of the source website

Architecture

Demo

Screen.Recording.2023-11-24.mp4

Getting Started

Prerequisites

To run main.py or llm_answer.py, you'll need:

• Stable connection to OpenAI (may be instability in China)
• Python 3.11.5 (not necessarily the same)
• Serper API Key
  • Serper: 2,500 free queries (very adequate and fast)
• OpenAI API Key
  • OpenAI: First $5 is free (GPT-3.5-turbo-16k recommended)

Installation

1. Install the required packages (consider adding -i https://pypi.tuna.tsinghua.edu.cn/simple in China):

pip install -r requirements.txt

2. Save your API Keys in config.yaml

3. run main.py or llm_answer.py, where you can change the query

License

This project is licensed under the MIT License.