Making a PDF search engine with vector embeddings using word2vec model trained on the PDF itself. the final state, I want the search engine to be is it should take query from user as a sentence, and make relevant search results based on that.
active 2024-10-26 → 2024-10-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2024-10-26 to 2024-10-29. Pushes: 5 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: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Aryan-B2107 | 5 | 5 | 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 — 1 stars here means stars gained during the window, not the repo's star count.