Here’s a concise version of the description: --- This project uses a Retrieval-Augmented Generation (RAG) pipeline to extract relevant information from PDFs. Users can upload PDFs, submit queries, and get accurate responses based on the document content. It combines a retriever model and generative model for intelligent, real-time query handling.
active 2024-10-06 → 2024-10-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 7 days from 2024-10-06 to 2024-10-12. Pushes: 6 total, peak 3 in a day. Pull requests: 4 total, peak 4 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 |
|---|---|---|---|---|
| aman167 | 10 | 6 | 4 | 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 — 0 stars here means stars gained during the window, not the repo's star count.