LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Understanding LlamaIndex and its role within LLM ecosystems.
• Setting up LlamaIndex: environment configuration and prerequisites.
• Fundamentals of indexing custom data.

LlamaIndex in Action

• Querying with LlamaIndex: techniques and best practices.
• Constructing query and chat engines using LlamaIndex.
• Developing intuitive Streamlit interfaces for LLM applications.

Advanced LlamaIndex Features

• Utilizing retrieval-augmented generation (RAG) to improve data retrieval.
• Exploiting vector stores for efficient data management.
• Designing and implementing agents with LlamaIndex.

Application Development with LlamaIndex

• Prompt engineering: chain of thought, ReAct, and few-shot prompting.
• Creating a documentation assistant: a practical LLM application example.
• Debugging and testing LLM applications.

Deployment and Scaling

• Deploying applications based on LlamaIndex.
• Scaling LLM applications for optimal performance.
• Monitoring and optimizing LLM applications.

Ethical and Practical Considerations

• Addressing ethical implications in LLM applications.
• Ensuring privacy and data security with LlamaIndex.
• Preparing for future advancements in LLM technology.

Summary and Next Steps