LlamaIndex: Data Framework for LLM Apps

Date Created
05/11/2024

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