MediSearchAI

Inspiration

Accessing accurate pharmaceutical information quickly is critical for healthcare professionals and individuals alike. Existing keyword-based searches often miss context, especially with multilingual pharmaceutical terms. This inspired us to build MediSearchAI, leveraging modern semantic search technologies.

What it does

MediSearchAI is an advanced pharmaceutical search engine that utilizes multilingual sentence embeddings and vector databases. Instead of simple keyword matches, it understands context and intent, offering highly relevant results—such as finding medication alternatives or treatments based on symptoms.

How we built it

• Integrated multilingual-e5-base sentence embeddings from Hugging Face for semantic search capability.
• Leveraged Qdrant, a powerful vector database, for efficiently managing and searching large datasets of pharmaceutical data.
• Developed the API using FastAPI for rapid, reliable, and maintainable backend development.
• Used Python to handle embeddings, data ingestion, and query processing.

Challenges we faced

• Ensuring accuracy and relevance across multiple languages required rigorous testing and data curation.
• Optimizing performance and query response times with vector search databases involved thoughtful experimentation.

Accomplishments we’re proud of

• Successfully integrating advanced multilingual semantic search into pharmaceutical data retrieval.
• Creating a functional, scalable prototype that significantly outperforms traditional keyword-based searches.

What we learned

• Effective techniques in integrating and optimizing semantic search systems.
• Advanced handling of multilingual data embedding and retrieval.

What's next for MediSearchAI

• Further enhance multilingual support and expand the pharmaceutical database.
• Implement an intuitive front-end for broader accessibility.
• Explore deployment and scalability optimizations to handle larger datasets and user loads.

Built With

• fastapi
• hugging-face-multilingual-e5-base-embeddings
• python
• qdrant-vector-database
• semantic-search