PharmaQuery

Overview

PharmaQuery is an advanced Pharmaceutical Insight Retrieval System designed to help users gain meaningful insights from research papers and documents in the pharmaceutical domain.

PharmaQuery Architecture

Demo

PharmaQuery-Demo.mp4

Features

• Natural Language Querying: Ask complex questions about the pharmaceutical industry and get concise, accurate answers.
• Custom Database: Upload your own research documents to enhance the retrieval system's knowledge base.
• Similarity Search: Retrieves the most relevant documents for your query using AI embeddings.
• Streamlit Interface: User-friendly interface for queries and document uploads.

Technologies Used

• Programming Language: Python 3.10+
• Framework: LangChain
• Database: ChromaDB
• Models:
  • Embeddings: Google Gemini API (embedding-001)
  • Chat: Google Gemini API (gemini-1.5-pro)
• PDF Processing: PyPDFLoader
• Document Splitter: SentenceTransformersTokenTextSplitter

Requirements

1. Clone the Repository:

   git clone https://github.com/CodeWithCharan/PharmaQuery.git
   cd PharmaQuery

2. Install Dependencies:

   pip install -r requirements.txt

3. Set Up Environment Variables: Create a .env file in the project root directory with the following variables:

   GOOGLE_API_KEY="your_google_gemini_api_key"

   Note: Replace your_google_gemini_api_key with actual key.

4. Run the Application:

   streamlit run app.py

5. Use the Application:

   • Enter your query in the main interface.
   • Optionally, upload research papers in the sidebar to enhance the database.