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Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith
4.6 ★★★★★14,079 studentsCreated by KRISHAI Technologies Private Limited, Krish NaikLast updated Dec 12, 2025🌐 English

What you'll learn

✓Build traditional RAG pipelines for accurate and efficient information retrieval.
✓Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
✓Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.
✓Use LangSmith for tracking, debugging, and optimizing RAG workflows in real-world projects.
✓Integrate LangSmith for tracking, debugging, and optimizing RAG performance.
✓Use vector databases like FAISS, Pinecone, and Weaviate efficiently.
✓Build domain-specific knowledge chatbots with hybrid search.
✓Develop multimodal AI assistants that process both text and images.

Requirements

•Basic understanding of Python programming (variables, loops, functions).
•No prior knowledge of RAG is required — everything will be taught from scratch.
•Familiarity with AI concepts like LLMs is helpful
•Basic Knowledge Of Langchain

Description

Frequently Asked Questions

Student Feedback

4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith
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This course includes:
  • 📺 29h 30m on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion