This repository contains main.py, a Python script which interacts with the user, accepting a search query and optionally a chat query. The script retrieves documents most related to the search query from a pre-existing FAISS index (the process to create this index can be found at this repository), and uses these documents to inform an OpenAI chat model to generate a response. This application functions as a chat assistant, providing answers based on specific document sets.

Please ensure that you have installed:

• Python 3.6+
• logging Python library.
• openai Python library.
• langchain Python library version 0.1+. This library provides FAISS vector store and OpenAIEmbeddings.

You can install these dependencies with the following pip command:

pip install logging openai langchain

To run the script, perform the following steps:

1. Clone this repository to your local machine.

   git clone <repo_url>

2. Replace 'YOUR_OPENAI_KEY' in the script with your OpenAI key. If you do not want to send data to OpenAI API, leave this as an empty string.

   openai.api_key = 'YOUR_OPENAI_KEY'

3. Replace 'INDEX_FILE_NAME' with the name of your FAISS index file.

    faiss_index_filename = 'INDEX_FILE_NAME'

4. Run the script.

   python main.py

The script interface prompts you to input a "search query" (core concept you're interested in) and optionally a "chat query" (the question to ask the OpenAI model). When a chat query is provided and an OpenAI key is set up, the script retrieves relevant documents from your FAISS index, uses them to inform the OpenAI chat model, and the response is then presented. When a chat query is not provided or an OpenAI key is not set up, the script provides a list of the relevant documents based on your search query.

Enter exit as either the search query or chat query to stop the script.

This project is released under the Unlicense, granting uncheckered freedom to use, modify, and distribute this project as you see fit.