Realtime RAG Chatbot Project for Finance.

Table of Contents

• ⭐ Key Features
• 🚀 Getting Started
  • ☑️ Prerequisites
  • ⚙️ Advanced Installation
  • 🤖 Usage
• 📌 Project Roadmap
• 🎗 License
• 🙌 Contributors

⭐ Key Features

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🚀 Getting Started

☑️ Prerequisites

Before getting started with , ensure your runtime environment meets the following requirements:

• Programming Language: Python
• Package Manager: Pip, Poetry
• Container Runtime: Docker

🤖 Usage

Run using the following command:

Add environment variables to docker-compose.yaml  

services:
  agent:
    image: ghcr.io/datvodinh/finbot:main
    container_name: finbot-agent
    environment:
      - REDIS_HOST=cache-db
      - REDIS_PORT=6379
      - QDRANT_URL=http://vector-db:6333
      - OPENAI_API_KEY=
      - GOOGLE_API_KEY=
      - GOOGLE_CSE_ID=

Using docker  

docker compose up -d --build

⚙️ Advanced Installation

Install using one of the following methods:

Build from source:

1. Clone the repository:

git clone https://github.com/datvodinh/finbot.git

2. Navigate to the project directory:

cd 

3. Install the project dependencies:

Using poetry  

poetry install

Add environment variables to .env

REDIS_HOST=0.0.0.0
REDIS_PORT=6379
QDRANT_URL=http://0.0.0.0:6333
OPENAI_API_KEY=
GOOGLE_API_KEY=
GOOGLE_CSE_ID=

Run using pip  

python src/main.py

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📌 Project Roadmap

• Task 1: More Robust Crawling.
• Task 2: Support Model from Ollama and Huggingface.

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🎗 License

This project is protected under the Apache 2 LICENSE.

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🙌 Contributors

• Shout out to datvodinh and 2uanDM who helped bring this project to life!

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