awesome-llm-apps/rag_tutorials/rag_chain

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.

Demo

https://github.com/user-attachments/assets/c12ee305-86fe-4f71-9219-57c7f438f291

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. Install Dependencies:

   pip install -r requirements.txt
   

2. Run the Application:

   streamlit run app.py
   

3. Use the Application:

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

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