LlamaIndex: Data Framework for LLM Apps

LlamaIndex: Data Framework for LLM Apps

This course dives deep into LlamaIndex, covering everything from setting up the development environment to advanced concepts like query transformations and cost optimization. Learners will explore key topics such as text chunking strategies, vector store integration, custom node types, and prompt engineering to master LlamaIndex architecture.

What you will learn -

  • Unveiling LlamaIndex
  • Setting Up Your Python Development Environment for LlamaIndex
  • Streamlining Data Ingestion
  • Mastering Text Splitting and Chunking in Python with LlamaIndex
  • Mastering Vector Store Integration in LlamaIndex for Python
  • Mastering Index Types and Selection Strategies in LlamaIndex
  • Query Engine Fundamentals in LlamaIndex
  • Unlocking the Power of Embeddings and Vector Representations in Python with LlamaIndex
  • Enhancing Python Applications with Retrieval Augmented Generation using LlamaIndex
  • Mastering Context Window Management in Python with LlamaIndex
  • Mastering Prompt Engineering with LlamaIndex for Python Developers
  • Enhancing LlamaIndex
  • Leveraging Python for Efficient Structured Data Processing with LlamaIndex
  • Enhancing LlamaIndex
  • Unveiling Response Synthesis Modes in LlamaIndex
  • Efficient Memory Management with LlamaIndex in Python
  • Turbocharging Your Python Code
  • Maximizing Efficiency
  • Mastering Streaming Responses with LlamaIndex in Python
  • Unlocking the Power of Advanced Query Transformations in LlamaIndex