URL Context
16 days ago
- #URL context
- #data retrieval
- #AI tools
- The URL context tool allows models to access and utilize content from provided URLs to enhance responses.
- Use cases include data extraction, document comparison, content synthesis, and code analysis.
- The tool uses a two-step retrieval process: first checking an internal cache, then fetching live if needed.
- Can be combined with other tools like Google Search for broader and deeper analysis.
- Response includes metadata about retrieved URLs and their retrieval status for verification.
- Safety checks are performed on URLs, and content size and type are limited.
- Supported models include various versions of Gemini.
- Best practices include providing specific, accessible, and complete URLs.
- Limitations include token count pricing, request limits, and unsupported content types.