Langchain Document-based Conversational AI
This is a document-based conversational AI system powered by GPT-4 and Langchain. It can answer questions based on the contents of documents stored in the docs directory. The application uses Gradio to provide a user interface for interacting with the conversational AI. Features
Load documents in PDF, TXT, and DOCX formats
Index documents using OpenAI embeddings
Store document embeddings in Chroma for efficient search
Retrieve information from the documents using a GPT-4 model
Provide a user-friendly Gradio frontend for interacting with the AI
Installation
To use this script, you will need to install several Python libraries. You can do this by running the following command:
bash
pip install openai langchain chromadb tiktoken pypdf unstructured[local-inference] gradio
Usage
Store your documents in a folder named docs in the same directory as the script.
Set your OpenAI API key in the script:
python
os.environ["OPENAI_API_KEY"] = "your_openai_api_key_here"
Run the script:
bash
python langchain_conversational_ai.py
Open the Gradio web app in your browser and start interacting with the conversational AI.
Code Overview
The main components of this script include:
Importing necessary libraries
Initializing the GPT-4 model
Defining and loading document loaders for PDF, TXT, and DOCX formats
Loading and embedding documents with OpenAI embeddings
Initializing the Langchain conversational retrieval chain
Defining the Gradio user interface and related functions
Launching the Gradio web app