LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Understanding LlamaIndex and its role in LLMs.
• Setting up LlamaIndex: environment and prerequisites.
• The basics of indexing custom data.

LlamaIndex in Action

• Querying with LlamaIndex: techniques and best practices.
• Building query and chat engines with LlamaIndex.
• Creating intuitive Streamlit interfaces for LLM applications.

Advanced LlamaIndex Features

• Employing retrieval-augmented generation (RAG) for enhanced data retrieval.
• Leveraging vector stores for efficient data management.
• Designing and implementing LlamaIndex agents.

Application Development with LlamaIndex

• Prompt engineering: chain of thought, ReAct, and few-shot prompting.
• Developing a documentation helper: a real-world LLM application.
• Debugging and testing LLM applications.

Deployment and Scaling

• Deploying LlamaIndex-based applications.
• Scaling LLM applications for high performance.
• Monitoring and optimizing LLM applications.

Ethical and Practical Considerations

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

Summary and Next Steps