<Webinar> RAG in Production - A Technical Deep Dive
%20(1).png)
Built for Speed: ~10ms Latency, Even Under Load
Blazingly fast way to build, track and deploy your models!
- Handles 350+ RPS on just 1 vCPU — no tuning needed
- Production-ready with full enterprise support
About the Webinar
As a follow-up to our open-source launch 'Cognita,' this webinar is designed to delve deeper into several key areas:
- Real-life challenges in putting RAG into production: Explore the practical obstacles and solutions for implementing Retrieval-Augmented Generation (RAG) in real-world scenarios.
- RAG use cases and impact with enterprises: Discover how enterprises are leveraging RAG and the significant impacts it is having on their operations.
- Building RAG with less fuss and more impact: Learn strategies and best practices for developing RAG systems that are both efficient and effective.
- Introducing Cognita by TrueFoundry: Cognita is our open-source RAG framework. It is fully modular, user-friendly, adaptable, and 100% secure & compliant.
For more information, visit our GitHub Repo.
Featuring:
- Nikunj Bajaj, Co-founder and CEO @TrueFoundry who led the Conversational AI team at Facebook, will share his insights and expertise on RAG and its applications.
Watch the Video
TrueFoundry AI Gateway delivers ~3–4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.
Built for Speed: ~10ms Latency, Even Under Load
The fastest way to build, govern and scale your AI
Sign Up







.webp)




.webp)
.webp)


.webp)


%20(1).webp)




