DeepRetrieve

DeepRetrieve is a Retrieval-Augmented Generation (RAG)-based system designed to efficiently retrieve, analyze, and compare information from various documents. Leveraging vector search technology and Large Language Models (LLMs).

Preview

Setup Instructions

• Clone the repository
• Setup virtual environment (Python 3.12+)

  python3.12 -m venv venv
  source venv/bin/activate

• Install dependencies

  pip install -r requirements.txt

Usage

• Setup the configuration file

  cp config.yml.example config.yml

• Update the configuration file with the required information
  • Note: The ollama section is optional and can be left empty if you don't want to use the LLM model for processing the documents.
• Store the documents in ChromaDB

  python3.12 store.py

• Retrieve information from the documents

  python3.12 retrieve.py

Flowchart

1. Store
2. Retrieve