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langchain-chat-vector-db

Langchain-Chat-Vector-DB

This is a project that enables users to interact with their documents (PDF, DOCX, or plain text files) using natural language. This chatbot leverages Langchain, Python, ChatGPT, ChromaDB, and OpenAI technologies to provide a seamless conversational experience.

Features

  • Support for PDF, DOCX, and plain text files.
  • Natural language processing for document interaction.
  • Easy integration with Python 3.8.
  • Utilizes ChatGPT for generating conversational responses.
  • Efficient document indexing and retrieval using ChromaDB.

Installation

  1. Clone the project repository:
git clone https://github.com/olahsymbo/langchain-chat-vector-db.git
  1. Change into the project directory:
cd langchain-chat-vector-db
  1. Install the required dependencies:
pip install -r requirements.txt

Run the application:

python app.py

Configuration

The chatbot's behavior can be configured by creating a .env file. Here are some key configuration options:

OPENAI_API_KEY: Your OpenAI API key. Get it from the OpenAI developer dashboard (https://platform.openai.com).

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An implementation of Langchain Vector DB with ChatGPT

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