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Query documents quickly and efficiently

Project description

Docusearch

Welcome to Docusearch, the ultimate tool for document searching and processing using the power of vector embeddings. Follow the steps below to get started quickly!

Installation

First, you need to install the docusearch package using pip. Installation may take a minute or two. To avoid conflicts, it is recommend you use a virtual environment:

pip install docusearch

Usage

Step 1: Import the Module

After installing the package, import the process_query function from the docusearch module:

from docusearch import process_query

Step 2: Set the Parameters

Define the parameters for your query. You need to set your OpenAI API key, the path to the folder containing the documents, and the query for those documents

query = "What are some cool features of the Audi r8"
api_key = "your-openai-key"
folder_path = "path-to-your-folder"

Step 3: Call the Function and Print the Result

Now, call the process_query function with the parameters you set and print the result:

result = process_query(query, api_key, folder_path)
print(result)

Example

Here is the complete example code:

from docusearch import process_query

query = "What are some cool features of the Audi r8"
api_key = "your-openai-key"
folder_path = "path-to-your-folder"

result = process_query(query, api_key, folder_path)
print(result)

And that's it! You have successfully used the docusearch package to process your query. Enjoy searching your documents with ease!

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