GPT + METAPHOR internet search without crawling or scraping

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AI Summary

Summary: Exploring Metaphor API for LLMs

• Introduction to Metaphor API
  • A search engine for LLMs.
  • Offers embedding-based search.
  • Provides 1000 free API requests per month.
• Features of Metaphor API
  • Allows site and time filtering.
  • Returns clean, up-to-date HTML content.
  • No need for web crawling or scraping.
• Using Metaphor API with Python
  • Python code to retrieve search results.
  • Example: Searching for “best AI agent startups”.
  • Can print specific results or loop over them.
  • get_contents method to access content directly.
• Handling Search Results
  • Results include URL, ID, score, publish date.
  • Can limit the number of results returned.
  • Results may not always match the requested number.
• Interacting with Metaphor API
  • Search by calling metaphor.search.
  • Retrieve URLs and contents of search results.
  • Can retrieve different results each time.
• Additional Tools and Scripts
  • Metaphor documentation and starter files available.
  • Use of Beautiful Soup for HTML content parsing.
  • Scripts to clean up text from HTML.
• Example Use Cases
  • Chat loop for asking questions and retrieving results.
  • Example: Searching for NVIDIA’s revenue in 2023.
  • Example: Searching for the best gaming keyboards.
• Saving and Summarizing Results
  • Results and GPT responses saved to a JSON file.
  • Function search_and_summarize to handle searches and summaries.
• Resources and Projects
  • Over 200 posts and projects available on Patreon.
  • Projects include GPT live assist and perplexity web research agent.
  • Unified chat project for using multiple AI models.
• Content Creation Tools
  • Auto streamer and web course maker apps.
  • Live stream demonstrations of capabilities.
  • Deployment of course websites.
• Conclusion
  • Encouragement to check out and use the provided resources and tools.