apps/docs/overview/why-supermemory.mdx
...so you want to build your own memory layer. Let's go through your decision process:
<Steps> <Step title="Let's choose a vector database"> <Card title="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. </Card> </Step> <Step title="Now for the embedding model"> <Card title="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 </Card> </Step> <Step title="Time to build the memory layer"> <CardGroup cols="1"> <Card title="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 </Card> </CardGroup> </Step> </Steps>And in the middle of all this, you're wondering...
"When will I actually ship my product?"
If you're not a fan of reinventing the wheel, you can use supermemory.
<CardGroup cols="1"> <Card title="Affordable & Easy to Use" icon="banknote"> - Start for free, scale as you grow - Simple API, deploy in minutes - No complex setup or maintenance - Clear, predictable pricing </Card> <Card title="Simple Connectors" icon="plug"> - Notion, Google Drive, Slack - Web scraping and PDF processing - Email and calendar sync - Custom connector SDK </Card> <Card title="Production Ready" icon="activity"> - Enterprise-grade security - Sub-200ms latency at scale - Automatic failover and redundancy - 99.9% uptime guarantee </Card> </CardGroup>Stop reinventing the wheel. Focus on building your product while we handle the memory infrastructure.