Thanks for participating! We’ve put together this quick guide to everything you need to know about LlamaIndex.
Beginners
- What is Retrieval-Augmented Generation (RAG)? What is any of this?
- We have libraries in Python and TypeScript; the Python lib has more features
- Installation and getting started:
- I want to customize…
- LlamaHub is a collection of data connectors, vector stores, LLMs, agent tools, pre-written code and more!
- create-llama is a command-line tool that sets up a starter full-stack app for you
- The RAG CLI is a command-line tool that will index and query files for you
- Good for quickly checking if indexing documents works
- Building a low-code chatbot with Streamlit (this tool is called RAGs)
- What can I use?
- What’s the best way load and parse data?
- How do I get full control over how my query engine works?
- LlamaParse is our free-to-use industry-leading document parsing service
- If you’re dealing with complex PDFs or other documents we recommend using it!
NVIDIA-specific resources
Intermediate