shawkatkabbara

3 ms·

1.
Voice Agents Now Retrieve Context in <150ms with On-Device Prediction(twitter.com)
1 points by shawkatkabbara 9mo ago|0 comments
2.
The retrieval loss problem: why your AI memory / RAG fails at scale(youtube.com)
1 points by shawkatkabbara 11mo ago|1 comments
3.
by shawkatkabbara 11mo ago
In this episode, I sat down with Shawkat Kabbara, Founder & CEO of Papr AI, to discuss why traditional RAG systems fundamentally break at scale. Key insights: • Why retrieval gets WORSE with more data (backed by Google research) • The 4
4.
by shawkatkabbara 2y ago
On pricing, good feedback. We do have a usage based subscription for our pro and team plan. Makes sense to add this on the website so it's clear. We fixed the issue with google account sign-up, please give it a try again. We don't
5.
Papr.ai – AI-native docs with infinite memory(papr.ai)
4 points by shawkatkabbara 2y ago|3 comments
6.
by shawkatkabbara 2y ago
Today we are launching https://Papr.ai – the first AI-native workspace with infinite memory, powered by state-of-the-art retrieval accuracy. Teams work better, 3x faster. Your AI never forgets. Ever wondered why even the smartes
7.
by shawkatkabbara 3y ago
Did you ask them if they tried Papr Memory? https://open.substack.com/pub/paprai/p/supercharge-your-gpts... It's really easy to setup and you get personalization for your users.
8.
Super charge your GPTs with universal long-term memory(paprai.substack.com)
2 points by shawkatkabbara 3y ago|1 comments
9.
by shawkatkabbara 3y ago
Why build your own RAG pipeline, just use Papr memory instead to add personalization to your GPTs. Papr Memory enables GPTs to perform actions like saving, retrieving, updating, and deleting personal memories for end-users. When a conversat