This project is a Retrieval-Augmented Generation (RAG) system that processes multiple PDFs to generate context-aware responses to user queries. It leverages LangChain, ChromaDB, HuggingFace Embeddings, and Google Gemini for embedding, retrieval, and answer generation, with Streamlit providing a simple front-end interface.
active 2024-08-26 → 2024-09-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 24 days from 2024-08-26 to 2024-09-18. Pushes: 9 total, peak 8 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: 3 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 |
|---|---|---|---|---|
| anassajrx | 8 | 8 | 0 | 0 |
| khaouitiabdelhakim | 1 | 1 | 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 — 3 stars here means stars gained during the window, not the repo's star count.