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Generative AI 2 Months Intermediate Live on Zoom

RAG & Vector Databases

Build Retrieval Augmented Generation systems with Pinecone, ChromaDB, Weaviate. Connect LLMs to your own data for accurate, grounded AI responses.

4.8 (14 reviews) 95+ enrolled Certificate included

RAG (Retrieval Augmented Generation) is the #1 technique for building AI that works with your own data. This comprehensive 2-month course covers everything from basic retrieval to advanced production RAG architectures.

Over 24 live Zoom sessions, you will work with real vector databases, build complete RAG pipelines, implement advanced retrieval strategies, and learn evaluation techniques to ensure accuracy and reliability.

  • What is RAG — architecture & components
  • Document loading & preprocessing
  • Chunking strategies (fixed, semantic, recursive)
  • Embedding models comparison
  • Vector similarity search
  • Building your first RAG pipeline

  • Pinecone — setup, indexing, querying
  • ChromaDB — local & cloud deployment
  • Weaviate — schema, filters, hybrid search
  • Choosing the right vector DB for your use case
  • Metadata filtering & namespaces
  • Performance benchmarking

  • Hybrid search (dense + sparse)
  • Re-ranking with cross-encoders
  • Multi-step & iterative retrieval
  • Query transformation & routing
  • Agentic RAG with tool use
  • Multi-modal RAG (images + text)

  • RAG evaluation metrics (faithfulness, relevance)
  • RAGAS framework
  • Monitoring retrieval quality
  • Handling edge cases & failures
  • Production deployment patterns
  • Capstone: end-to-end production RAG system

What You'll Learn

  • Build end-to-end RAG pipelines from scratch
  • Work with Pinecone, ChromaDB, and Weaviate
  • Implement advanced retrieval strategies (hybrid, reranking, agentic)
  • Evaluate RAG system quality with RAGAS
  • Deploy production-grade RAG systems
  • Handle real-world data at scale

Tools & Technologies You'll Master

Python
LangChain
Pinecone
ChromaDB
Weaviate
OpenAI
RAGAS

You need basic Python knowledge. AI/ML experience is helpful but we cover the fundamentals of LLMs and embeddings in the course.

Live Zoom classes, Monday to Wednesday, 7:00 PM to 8:30 PM IST. 3 days per week, 90 minutes each.

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