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geospatial-recommendation.ipynb	geospatial-recommendation.ipynb

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Geospatial Recommendation System

In this tutorial, we'll enhance our restaurant recommendation system using Full Text Search (FTS) Indexes and Geospatial APIs.

Extract User Preferences: Identify key details from user input such as preferred cuisines and location.
Construct Query String: Synthesize these details into a structured query string for searching.
Perform FTS Index Search: Use the query string to find relevant restaurant recommendations.
Apply Geospatial Filtering: Use a Geospatial API to locate the user and refine recommendations based on proximity.

We can enhance later on by adding a filter to sort the recommendations based on distance

Setup Instructions

Install Dependencies: Ensure you have Python installed. Then, install the required packages:
```
pip install lancedb pandas sentence-transformers requests openai tantivy
```
Prepare Data: Place your restaurant data CSV file in the data.csv format in the project directory.
Run the Notebook: Open the geospatial-recommendation.ipynb notebook in Jupyter or Google Colab and execute the cells sequentially.

For a detailed explanation of how this works, check out the blog post: