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🔧 Turnkey AI with RAG Saas for Developers


Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to

Hey Developers,

I’m developing an AI infrastructure platform designed to help developers easily integrate Contextual AI functionality into their applications. This platform offers an end-to-end solution, streamlining the complexities of implementing AI—from data handling to generating contextual responses.

Here’s what the platform includes:

  • APIs: We provide just 8 simple APIs to manage everything from chat interactions to document indexing:
    • /chat/create
    • /chat/completion
    • /chat/history
    • /indexing/add_document
    • /indexing/update_document
    • /indexing/delete_document
    • /chat/autorename
    • /chat/rename

Our goal is to reduce the heavy lifting associated with AI implementation, allowing developers to focus on building their applications rather than navigating complex concepts like embeddings, LLMs, and data parsing.

I recently spoke with a CTO who expressed a willingness to pay for a service like this, which got me thinking:

  • Would you or your company find value in an end-to-end AI infrastructure solution?
  • What pricing models would you prefer (tiered, pay-as-you-go, subscription, etc.)?
  • What features would you consider essential?

I’d love to hear your thoughts, experiences, and any suggestions you might have. Your feedback will be invaluable as I move forward with this project!

Thanks for your input!

...

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