To export search results from LlamaIndex, you will first need to perform a search query using the LlamaIndex library. Once you have executed your query and retrieved the relevant results, you can then format these results as needed and save them to a file format of your choice such as CSV, JSON, or plain text. The process generally involves using standard programming techniques to capture the output from your search function and writing it to a file.
In your code, start by setting up a search function using LlamaIndex. After retrieving the results, you can use Python's built-in file I/O functions to save the data. For example, if your search results are stored in a list or a similar structure, you can iterate over the results and extract the necessary fields for export. If you're working with data that has various attributes per result, consider structuring this data into a dictionary for easy access and manipulation.
Here's a brief example. Say you performed a search and got a list of dictionaries containing information about documents. You could use the csv module to write these results to a CSV file. Here’s a simplified version of how that looks:
import csv
# Assuming results is a list of dictionaries from your search query
results = [{'title': 'Doc1', 'content': 'Sample Content 1'},
{'title': 'Doc2', 'content': 'Sample Content 2'}]
with open('search_results.csv', 'w', newline='') as csvfile:
fieldnames = ['title', 'content']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for result in results:
writer.writerow(result)
This code snippet creates a CSV file named search_results.csv with the titles and content of the search results. You can similarly adapt this approach to export in different formats or with additional fields based on your requirements.