https://github.com/arkadiyshuvaev/llm-zoomcamp-workshop
Pre-course to the course "Chat with your own data - LLM+RAG"
https://github.com/arkadiyshuvaev/llm-zoomcamp-workshop
aws-bedrock elasticsearch python rag
Last synced: 3 months ago
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Pre-course to the course "Chat with your own data - LLM+RAG"
- Host: GitHub
- URL: https://github.com/arkadiyshuvaev/llm-zoomcamp-workshop
- Owner: ArkadiyShuvaev
- Created: 2024-06-07T10:39:04.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-06-12T06:36:21.000Z (over 1 year ago)
- Last Synced: 2025-03-02T21:27:21.674Z (8 months ago)
- Topics: aws-bedrock, elasticsearch, python, rag
- Language: Jupyter Notebook
- Homepage: https://github.com/alexeygrigorev/llm-rag-workshop
- Size: 343 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
The workshop is based on materials from the repository https://github.com/alexeygrigorev/llm-rag-workshop.
The purpose of the workshop is to gain experience in building a RAG system to communicate with your data.
Some changes have been made compared to the original version:
1. OpenAI API replaced with AWS Bedrock text model.
1. Added a user interface based on the "streamlit" library.
1. The project can be started in the VS Code dev container.
## How to run UI
1. Execute the command below in a shell.
```bash
streamlit run ./notebooks/ui.py
```
1. Question examples:
- How many Zoomcamps in a year?
- What is the duration of the course?
- What can I do before the course starts?
- What is the price of the course?
- What is the format of the course?
