RAG Systems: Chat With Your Own Data

• Level: Intermediate
• Duration: 6 weeks
• Category: Artificial Intelligence

Ground LLM answers in your own documents. Build retrieval-augmented generation pipelines with embeddings, vector databases, reranking and evaluation.

What you will learn

• Decide when RAG is the right approach
• Split, embed and index documents in a vector database
• Build retrieval with filters, hybrid search and reranking
• Measure answer quality and reduce hallucinations
• Deploy a document question-answering assistant

Topics covered

• RAG fundamentals
• Embeddings
• Chunking strategies
• Vector databases
• Semantic search
• Hybrid search
• Reranking
• LangChain
• LlamaIndex
• RAG evaluation
• Deployment
• Capstone project