Solution: Utilize Free-Search API to get real-time data
AI agents need real-time data to keep their knowledge fresh, but traditional databases are costly and inefficient to update.Free-Search solves this problem with real-time Google search as follows:
- Deploying Local API Services: Follow the article guide to install the Python environment and run main.py to create a local service on port 11235
- Setting up timed queries: Include periodic HTTP requests in the AI agent code, e.g., to get the latest information automatically every hour:
curl "http://localhost:11235/search?query=科技新闻&max_results=3" - Data preprocessing: Control the density of information through the max_content parameter, it is recommended that the initial setting of 2000 characters, both to ensure completeness and avoid redundancy.
Alternative: directly use the public instance https://freesearch.replit.app, which is suitable for quick validation needs. Note: Keywords are recommended to include a timeframe (e.g., "AI trends in 2023") to improve the timeliness of results.
This answer comes from the articleFree-Search: API tool for free access to real-time Google search resultsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of lack of real-time data updates for AI agents?
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