BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base
Published in Nature Methods, 2023
Recommended citation: Lei, W., Fuster-Barceló, C., Reder, G. et al. BioImage.IO Chatbot: a community-driven AI assistant for integrative computational bioimaging. Nat Methods 21, 1368–1370 (2024). https://doi.org/10.1038/s41592-024-02370-y https://rdcu.be/dQuw7
BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base
The rapidly expanding landscape of bioimage analysis tools presents a navigational challenge for both experts and newcomers. Traditional search methods often fall short in assisting users in this complex environment. To address this, we introduce the BioImage.IO Chatbot, an AI-driven conversational assistant tailored for the bioimage community. Built upon large language models, this chatbot provides personalized, context-aware answers by aggregating and interpreting information from diverse databases, tool-specific documentation, and structured data sources. Enhanced by a community-contributed knowledge base and fine-tuned retrieval methods, the BioImage.IO Chatbot offers not just a personalized interaction but also a knowledge-enriched, context-aware experience. It fundamentally transforms the way biologists, bioimage analysts, and developers navigate and utilize advanced bioimage analysis tools, setting a new standard for community-driven, accessible scientific research..
You can check the article in Nature Methods here, the arxiv preprint here and the one in zenodo here.
Visit our GitHub repository for more info: github.com/bioimage-io/bioimageio-chatbot