Build with Raydocs faster using AI assistants that understand our APIs, SDKs, and integration patterns. This guide shows you how to provide complete context so your assistant can answer questions and generate accurate code.
Quick Start: URL Context Provide this URL directly to your AI assistant:
https://docs.raydocs.com/llms-full.txt
Start your chat with:
Retrieved and processed the Raydocs documentation from this provided URL: https://docs.raydocs.com/llms-full.txt. Use it as context in this chat to answer my questions.
Method 2: Direct Content Injection If your AI tool does not support URL fetching:
Download the documentation
Open https://docs.raydocs.com/llms-full.txt in your browser.
Copy the full content
Select all content and copy it to your clipboard.
Paste into your AI tool
Paste the documentation before your first question.
If you hit token limits, paste only the sections related to your task first, then expand context as needed.
Example Prompts Basic Integration Using the Raydocs docs, show me how to create a workspace and template with the API.
Create a complete workflow that uploads documents, runs an extraction, and fetches results.
Auth and Security How do I authenticate Raydocs API requests and rotate access tokens safely?
Best Practices
Mention what you’re building (web app, backend service, automation job) for more precise guidance.
Ask for complete, runnable examples including error handling and edge cases.
Validate endpoint paths and required scopes against the API reference.
Build and test incrementally rather than implementing everything at once.
Troubleshooting
AI doesn’t fetch URL content
Use the direct content injection method and paste the relevant sections.
Paste only the sections you need (for example, API keys, workspaces, and sessions), then expand if needed.
Next Steps 