A naukri.com initiative
Dev
1w
381
Image Credit: Dev
# Leveraging BioChatter: A Conversational AI Backend for Biomedicine
- BioChatter is an open source Python package released on June 6, 2025, aimed at integrating conversational AI into biomedical research workflows.
- The package provides a backend interface for connecting large language models with biological knowledge graphs and common biomedical tasks using a unified API.
- Users can install the package via pip and interact with models by sending prompts and receiving structured outputs.
- BioChatter supports integration with BioCypher, evaluation metrics, and model agnostic chaining to compare different large language models.
- The library simplifies the development of applications like gene disease extractors and dialog agents for molecular data by automating various components.
- It facilitates reproducible benchmarks in biomedical NLP and provides researchers with an easier way to prototype and evaluate conversational AI pipelines.
- Interested individuals can explore the documentation on the GitHub repository, experiment with custom prompts, and contribute to the community.
- BioChatter enables the integration of large language models into scientific workflows, paving the way for more conversational and data-driven tools in biology.
Read Full Article
22 Likes
For uninterrupted reading, download the app