In this project I have used Tools such as WikipediaQueryRun and ArxivQueryRun along with some web data imported through WebBaseLoader and created an LLM models which helps us to get most accurate data based on user data. it also shows the thinking of the LLM model.
active 2024-10-20 → 2024-10-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-10-20 to 2024-10-20. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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 |
|---|---|---|---|---|
| arnav03052002 | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.