LLM vs RAG

Introduction

This demo shows benefits of using retrieval augmented generation over vanilla LLM usage.

Usage

Basic example

1. Install requirements.txt (pip install -r requirements.txt).
2. Run an instance of Weaviate (e.g. docker-compose up -d from your shell).
3. Run eg1_create_collection.py to create a collection.
4. Run eg2_import_arxiv.py and eg2_import_pdf.py to import text data from various PDFs.
5. Run streamlit run Demo_app.py from your shell.

There is also a multi-modal example - documentation to come :).

Build amazing GenAI apps with Weaviate

• Start with the Quickstart guide
• The RAG guide is a good next step
• The Academy is a holistic guide combining theory & practice
• The Recipes show you practical end-to-end examples