GRAG is a simple python package that provides an easy end-to-end solution for implementing Retrieval Augmented Generation (RAG). The package offers an easy way for running various LLMs locally, Thanks to LlamaCpp and also supports vector stores like Chroma and DeepLake.
active 2024-01-24 → 2024-04-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 94 days from 2024-01-24 to 2024-04-26. Pushes: 564 total, peak 40 in a day. Pull requests: 190 total, peak 16 in a day. Issues: 10 total, peak 2 in a day. Comments: 3 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| arjbingly | 425 | 265 | 100 | 2 |
| sanchitvj | 356 | 244 | 84 | 1 |
| elpham6 | 35 | 32 | 2 | 0 |
| Kunal-1669 | 21 | 17 | 4 | 0 |
| github-actions[bot] | 6 | 6 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.