Making RAG using tools like LangChain is relatively easy, but scaling it from a prototype to a reliable production system often requires a lot of engineering work — infrastructure, monitoring, scaling, pipelines, and maintenance.
To explore this problem, I’ve been building Krira Augment at Krira Labs.
I’m the founder and CEO of Krira Labs, and my goal is to build an AI infrastructure that helps developers and companies create production-ready systems for RAG, AI agents, MCP servers, and related workflows.
I’ve built an early prototype of Krira Augment to experiment with this idea. If this sounds interesting, you can join the waitlist here:
To explore this problem, I’ve been building Krira Augment at Krira Labs.
I’m the founder and CEO of Krira Labs, and my goal is to build an AI infrastructure that helps developers and companies create production-ready systems for RAG, AI agents, MCP servers, and related workflows.
I’ve built an early prototype of Krira Augment to experiment with this idea. If this sounds interesting, you can join the waitlist here:
-> https://www.kriralabs.com/waitlist
You can watch Krira Augment demo here: -> https://youtu.be/v9i2tOorwqY?si=-IbuqSoO4bTfnw0D
I’m currently bootstrapping this project and would love feedback from the Hacker News community.