Uploaded August 2025 | Updated September 2026, 1 week ago
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.
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Check our Complete Playlist
Agentic AI Langgraph Playlist: youtube.com/watch?v=vVGXPRjtAJE&list=PLZoTAELRMXVPFd7JdvB-rnTb_5V26NYNO
RAG Playlist: youtube.com/watch?v=fZM3oX4xEyg&list=PLZoTAELRMXVM8Pf4U67L4UuDRgV4TNX9D
MCP Playlist: youtube.com/watch?v=-UQ6OZywZ2I&list=PLZoTAELRMXVPC8r1xF68Gksi241DAtMsK
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.
----------------------------------------------------------------------------------------
Check our Complete Playlist
Agentic AI Langgraph Playlist: youtube.com/watch?v=vVGXPRjtAJE&list=PLZoTAELRMXVPFd7JdvB-rnTb_5V26NYNO
RAG Playlist: youtube.com/watch?v=fZM3oX4xEyg&list=PLZoTAELRMXVM8Pf4U67L4UuDRgV4TNX9D
MCP Playlist: youtube.com/watch?v=-UQ6OZywZ2I&list=PLZoTAELRMXVPC8r1xF68Gksi241DAtMsK




![Day 1- End To End Agentic AI Project With LLMOPS
Code: ]https://github.com/sunnysavita10/AI_Trip_Planner
Join our Agentic AI and LLMOPS Industry Ready Projects Bootcamp. In this batch we only focus on building good End To End Industry Grade Projects and how we can take it to production which includes MLOPS and LLMOPS.
Please find the batch details below.
We are offering 20% off discount offer for our left 80 students. Use Code AISKILLS20
Enrollments Link: https://lnkd.in/gkXwXDR3
Mentors: Mayank,Krish And Sunny
Start Date:July 12th 2025 (Saturday And Sunday)
Timing: 2 PM to 5 PM IST(Saturday And Sunday)
Duration : 4-5 months
Prerequisites:
1. Good Coding Knowledge of Python including Modular Coding
2. Basics of NLP and Deep Learning
3. Basic Knowledge Of Generative AI
Reach out to Krish Naiks counselling team on π +91 84848 37781 or +919111533440 in case of any queries we are there to help you out. Day 1- End To End Agentic AI Project With LLMOPS](https://i.ytimg.com/vi/ghnFmeY4bO4/mqdefault.jpg)





