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Video Duration
4 hours
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Learners
15+
Retrieval-Augmented Generation (RAG): From Documents to AI Chatbots (English & Malayalam)
നിങ്ങളുടെ സ്വന്തം ഡാറ്റയുമായി LLM-കളെ ബന്ധിപ്പിച്ച്, കൃത്യവും വിശ്വസനീയവുമായ ഉത്തരങ്ങൾ നൽകുന്ന AI ചാറ്റ്ബോട്ടുകൾ എങ്ങനെ നിർമ്മിക്കാമെന്ന് പഠിക്കൂ.
SARTECH Labs RAG course teaches you to master the end-to-end lifecycle of Retrieval-Augmented Generation, from overcoming raw LLM limitations to engineering production-grade infrastructure and building next-generation agentic architectures. Standard LLMs face real barriers: knowledge cutoffs, lack of access to proprietary data, and hallucination risk. RAG solves this by dynamically connecting LLMs to external, authoritative knowledge bases, without the time and cost of full model retraining.This course guides you step-by-step through data ingestion, chunking strategies, hybrid search, cross-encoder reranking, and semantic caching- using tools like LangChain, FAISS, and Azure AI Search. You'll build continuous evaluation frameworks using metrics like Hit Rate@K, Precision@K, and Faithfulness, before mastering cutting-edge architectures such as Agentic RAG, GraphRAG, Self-RAG, and Multimodal RAG.
Steps to Enroll
SARTECH Labs RAG course teaches you to master the end-to-end lifecycle of Retrieval-Augmented Generation, from overcoming raw LLM limitations to engineering production-grade infrastructure and building next-generation agentic architectures. Standard LLMs face real barriers: knowledge cutoffs, lack of access to proprietary data, and hallucination risk. RAG solves this by dynamically connecting LLMs to external, authoritative knowledge bases, without the time and cost of full model retraining.This course guides you step-by-step through data ingestion, chunking strategies, hybrid search, cross-encoder reranking, and semantic caching- using tools like LangChain, FAISS, and Azure AI Search. You'll build continuous evaluation frameworks using metrics like Hit Rate@K, Precision@K, and Faithfulness, before mastering cutting-edge architectures such as Agentic RAG, GraphRAG, Self-RAG, and Multimodal RAG.
Steps to Enroll
1. Create an account in sartechlabs.com
2. Provide the same email-id that was used for creating the account
3. Pay the fee
4. Join our Whatsapp support group https://chat.whatsapp.com/HNmUD7FwdvUIp6Ld3I2G6B2
4. Join our Whatsapp support group https://chat.whatsapp.com/HNmUD7FwdvUIp6Ld3I2G6B2
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— Your Course Gist
Key Highlights:
Understand RAG architecture and workflows
Work with embeddings, retrievers, and generators
Build and evaluate your own RAG pipeline
Tools: LangChain • FAISS • OpenAI • Azure AI Search
Perfect for developers, AI enthusiasts, and professionals looking to make LLMs reliable and context-aware
