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Lamatic.ai Joins NVIDIA Inception + New RAG Learning Guides!

Lamatic.ai Joins NVIDIA Inception + New RAG Learning Guides!

Lamatic.ai joins the NVIDIA Inception Program! 🎉 Plus, explore new guides on building RAG-powered chatbots with Firecrawl, Google Drive, and AWS S3. Stay ahead in AI—dive in now! 🚀

Aman Sharma & Vrijraj Singh
10 Mar • Estimated Reading Time: 2 minutes

Lamatic.ai 🤝 NVIDIA Inception Program

We’re thrilled to announce that Lamatic.ai has joined the NVIDIA Inception Program! This marks a significant milestone in our journey to build cutting-edge AI solutions.

This partnerships will help us grow even faster and strengthen our focus on enterprise AI on startup level entry point.

Check out the social media post here

Want to deepen your understanding of RAG?

Retrieval-Augmented Generation (RAG) is an AI framework that enhances Large Language Models (LLMs) by integrating external data retrieval mechanisms.

New Learning Guides Just Dropped!

Powerful Knowledge Chatbot with Firecrawl and RAG - Lamatic.ai Docs

Powerful Knowledge Chatbot with Firecrawl and RAG

lamatic.ai/guides/tutorials/powerful-chatbot-with-firecrawl

RAG with Google Drive - Lamatic.ai Docs

Learn how to build an intelligent chatbot that can understand and respond to questions based on your Google Drive documents using Lamatic.ai and RAG technology.

lamatic.ai/guides/tutorials/rag-with-google-drive

RAG with AWS S3 - Lamatic.ai Docs

Build a Chatbot with Retrieval-Augmented Generation (RAG) Using AWS S3

lamatic.ai/guides/tutorials/rag-with-aws-s3

Stay ahead with the latest AI advancements—dive in today!

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