https://github.com/pingsutw/anyscale-rag-demo

Building RAG-based LLM Applications with Anyscale
https://github.com/pingsutw/anyscale-rag-demo

Last synced: 11 days ago
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Building RAG-based LLM Applications with Anyscale

• Host: GitHub
• URL: https://github.com/pingsutw/anyscale-rag-demo
• Owner: pingsutw
• License: apache-2.0
• Created: 2024-08-15T01:04:33.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-09-06T10:36:05.000Z (2 months ago)
• Last Synced: 2024-11-01T08:42:30.566Z (18 days ago)
• Language: Python
• Size: 1.15 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Building RAG-based LLM Applications with Anyscale and Union

We built a GitHub bot designed to speed up the process of

managing and resolving issues on GitHub repositories.

By utilizing Flyte for orchestrating workflows and Ray for distributed computing,

this bot can provide intelligent suggestions, automate responses, and even 

suggest code fixes.

![github_response.png](images/github_response.png)

## Features

- Automated Issue Suggestions: Automatically suggest solutions for common issues.

- Code Fix Proposals: Propose code changes to resolve issues.

- Reference Links: Include links to documentation or relevant references in the bot responses to assist users in better understanding and resolving the issues.

## Demo

Issue:

![Issue](images/issue-1.png)

Suggestions:

![Suggestions](images/answer-1.png)

Issue:

![Issue](images/issue-2.png)

Suggestions:

![Suggestions](images/answer-2.png)

Issue:

![Issue](images/issue-3.png)

Suggestions:

![Suggestions](images/answer-3.png)