System and Method for Displaying Computational Chemistry Information using a Data Pipeline and AI Language Models

A computer-implemented method for presenting computational chemistry information within a conversational interface, the method comprising:

• generating and storing, by a data pipeline, computational chemistry artifacts associated with one or more molecules or molecule-receptor complexes;
• providing, to a conversational agent comprising an AI language model, information identifying at least a subset of the computational chemistry artifacts;
• generating, by the conversational agent, a natural-language response that includes one or more visualization directives embedded in the natural-language response, each visualization directive including (i) a directive type and (ii) an artifact reference corresponding to a respective computational chemistry artifact;
• parsing, by a client application displaying the conversational interface, the natural-language response to identify the one or more visualization directives;
• resolving, for each visualization directive, the artifact reference to obtain a renderable representation of the respective computational chemistry artifact;
• and
• rendering, by the client application within the conversational interface, a visualization corresponding to each visualization directive.

A computer-implemented method performed by one or more servers for presenting computational chemistry artifacts in a conversational interface, comprising:

• generating and storing computational chemistry artifacts;
• storing an index that maps artifact references to the computational chemistry artifacts;
• receiving, from a client application, a request associated with an artifact reference extracted from a natural-language response generated by a conversational agent comprising an AI language model;
• validating the artifact reference and a corresponding directive type;
• resolving the artifact reference to obtain a renderable resource locator and rendering metadata;
• and providing the renderable resource locator and rendering metadata to the client application for inline rendering within the conversational interface.