BioQuery AI Assistant

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Industries :

Health Care

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Technology :

GenAI, Python

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Tech-stack :

RAG, Qdrant database, OpenAI Whisper

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Project Details

Overview

  • BioQuery AI Assistant is a specialized chatbot designed for clinical research organizations, with a focus on cancer drug discovery. It provides seamless access to diverse research data stored in multiple formats, including PDFs, CSVs, PowerPoints, and Excel sheets, for managing data. Powered by Retrieval-Augmented Generation (RAG) and MongoDB, BioQuery simplifies complex data querying and aggregation.
  • Key features include automatic PowerPoint creation for research reporting and real-time inventory checks, enabling efficient workflows while ensuring strict data privacy compliance. Additionally, the tool offers real-time, word-by-word conversational capabilities similar to Alexa, enhancing user interaction and engagement.
  • Data Integration: Merging data from varied formats into a unified system.
  • NLP Accuracy: Handling complex, domain-specific queries with precision.
  • Data Privacy: Ensuring secure handling of sensitive research data.

Key Features

  • Accurate, reliable answers to experimental and research data queries.
  • Automatic PowerPoint creation from raw input data.
  • Real-time inventory checks powered by a language model.

Solution

  • Precise Query Responses: Integrated RAG for parsing structured text data.
  • Deployed MongoDB for efficient aggregation of non-textual datasets, ensuring accurate answers to complex questions in fields like biotechnology and biochemistry.
  • Automated PowerPoint Creation: Leveraged python-pptx and Anthropics Claude 3.5 Sonnet to dynamically generate professional PowerPoint presentations from raw user data.
  • Inventory Checks: Combined inventory databases with a language model to verify the availability of materials, enhancing lab efficiency and experiment readiness.

Technology Stack

  • Programming Language: Python
  • Qdrant: Vector database management
  • MongoDB: Data aggregation
  • FastAPI: Web interface development
  • AWS Bedrock: Foundational ML models
  • EC2: Scalable compute resources
  • S3: Secure data storage
  • EKS: Containerized application management
  • Infrastructure Management: Terraform

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As a primer software development company, we partner with clients across diverse industries. Whether it's healthcare, finance, or beyond, our solutions empower enterprises to reach their digital goals.

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