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https://github.com/brianlesko/sql-document-query
Use cosine similarity to search through dozens of documents for the most relevant information
https://github.com/brianlesko/sql-document-query
Last synced: about 20 hours ago
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Use cosine similarity to search through dozens of documents for the most relevant information
- Host: GitHub
- URL: https://github.com/brianlesko/sql-document-query
- Owner: BrianLesko
- License: mit
- Created: 2024-04-02T16:40:16.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-04-07T14:34:01.000Z (7 months ago)
- Last Synced: 2024-04-07T17:33:22.318Z (7 months ago)
- Language: Python
- Size: 7.77 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE.md
Awesome Lists containing this project
README
# Document Chunking
This code takes document chunks and embedds them into a vector space representing the content contained within the chunk. Useful for NPL and text based AI systems.
## Dependencies
This code uses the following libraries:
- `streamlit`: for building the user interface.
- `pandas`: for manipulating dataframes
## Usage
Run the following commands:
```
streamlit run app.py
```This will start the local Streamlit server, and you can access the chatbot by opening a web browser and navigating to `http://localhost:8501`.
## Topics
```
Python | Streamlit | Git | Low Code UI
text scraping | textual data | NLP | token
Learning purposes | Mechanical engineer & Robotics engineer | Masters Graduate | Ohio State
```
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follow all of these or i will kick you