This is a Python notebook that would guide you to build a Langchain LLM based model that intakes a pdf file, converts text into text chunks, which get converted to Text Embeddings and get saved to the VectorDB. VectorDB wold the using similarity search on vectors for quick response of the question answering.
active 2024-01-15 → 2024-02-08 (UTC)
Activity over time
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Line chart, 25 days from 2024-01-15 to 2024-02-08. Pushes: 6 total, peak 6 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 |
|---|---|---|---|---|
| 0sparsh2 | 6 | 6 | 0 | 0 |
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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.