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README.md

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

Install Dependencies:
```
pip install -r requirements.txt
```
Run the Application:
```
streamlit run app.py
```
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.

📫 Connect With Me

handshake gif