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The problem

…so you want to build your own memory layer. Let’s go through your decision process:
1

Let's choose a vector database

Found a vector database?

  • Oh no, it’s way too expensive. Time to switch.
  • Turns out it’s painfully slow. Let’s try another.
  • Great, now it won’t scale. Back to square one.
  • The maintenance is a nightmare. Need something else.
2

Now for the embedding model

Unless you have a PhD in AI, good luck figuring out:

  • Which model fits your use case
  • What are the performance tradeoffs
  • How to keep up with new releases
3

Time to build the memory layer

So many types of content

  • Websites: How do you handle JavaScript? What about rate limits?
  • PDFs: OCR keeps failing, text extraction is inconsistent
  • Images: Need computer vision models now?
  • Audio/Video: Transcription costs add up quickly
And in the middle of all this, you’re wondering…
“When will I actually ship my product?”

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The solution

If you’re not a fan of reinventing the wheel, you can use supermemory.

Affordable & Easy to Use

  • Start for free, scale as you grow
  • Simple API, deploy in minutes
  • No complex setup or maintenance
  • Clear, predictable pricing

Simple Connectors

  • Notion, Google Drive, Slack
  • Web scraping and PDF processing
  • Email and calendar sync
  • Custom connector SDK

Production Ready

  • Enterprise-grade security
  • Sub-200ms latency at scale
  • Automatic failover and redundancy
  • 99.9% uptime guarantee
Stop reinventing the wheel. Focus on building your product while we handle the memory infrastructure.