The AI Agent Research Pipeline

The AI Agent Research Pipeline

Synthesis is powered by a sophisticated AI agent research pipeline designed to automate and accelerate the process of generating comprehensive research papers, presentations, and valuable insights from your uploaded documents. This pipeline orchestrates a series of specialized agents that collaborate to understand your research materials, synthesize information, and produce structured outputs.

How the Pipeline Works

The research pipeline in Synthesis follows a clear lifecycle, starting from your raw input and culminating in polished research outputs:

1. Project Initialization & Document Ingestion: The journey begins when you create a new project and upload your research documents (e.g., PDFs, articles, notes). Each document is automatically processed, extracting text, chunking it into manageable pieces, and indexing it into an intelligent vector store. This prepares your data for the agents to access efficiently.

2. Triggering the Pipeline: Once documents are uploaded, you can initiate the AI agent pipeline for your project. This typically happens by navigating to your project details and triggering the process, either manually or as part of an automated workflow.

   Internally, this corresponds to a call to the /api/agents/run endpoint:

   POST /api/agents/run
   Content-Type: application/json
   
   {
       "projectId": "your-project-id"
   }
   

   This API call signals the system to start the orchestrator, the central component responsible for managing the sequence and collaboration of all subsequent agents.

3. Specialized Agent Collaboration: The orchestrator guides multiple AI agents through distinct phases of the research process. Each agent specializes in a particular task, ensuring comprehensive analysis and generation:

   • Outliner Agent: This agent is responsible for structuring your research. It analyzes the ingested documents to identify key themes, formulate hypotheses, and map out conceptual relationships, generating a coherent outline for your paper. The outputs include:

     • A structured research outline.
     • Key hypotheses derived from the source material.
     • A network of interconnected concept nodes that represent the core ideas within your project.

   • Writer Agent: Following the outline, the writer agent drafts the research paper. It synthesizes information from your documents, expands on the identified concepts and hypotheses, and composes each section (introduction, literature review, methodology, results, discussion, conclusion, references, abstract) into a cohesive full text.

     • The full research paper, including all sections and an abstract.

   • Presenter Agent: This agent transforms the generated paper and insights into a professional presentation. It extracts key findings, creates concise slides, and structures them for effective communication.

     • A set of structured presentation slides.

4. Monitoring and Interaction: Throughout the pipeline's execution, Synthesis provides real-time updates on your project's status and progress. You can view an Agent Activity Feed to track which agents are running and what tasks they are performing.

   Furthermore, the outputs of these agents are not static. The generated paper can be interactively edited using a rich text editor directly within the application. The system also leverages agent outputs to provide context for the interactive Chat with Research feature, allowing you to ask questions and receive answers based on the synthesized knowledge.

Outputs and Deliverables

Upon successful completion of the pipeline, Synthesis provides a suite of valuable deliverables:

• Comprehensive Research Paper: A fully drafted paper, available for viewing, editing, and export in various formats (PDF, LaTeX, DOCX, Markdown). You can download your paper using the Download button within the project view, selecting your preferred format.
• Professional Presentation: A ready-to-use presentation, downloadable as a PPTX file, summarizing the key findings of your research.
• Structured Outline & Hypotheses: A clear outline of your research, along with a list of generated hypotheses, which can be reviewed and refined.
• Concept Network & Analytics: Visualizations of interconnected concepts and project-level analytics (e.g., quality metrics, word count trends) to give you a deeper understanding of your research landscape.
• Interactive Research Chat: The ability to converse with your research, leveraging the synthesized knowledge from the agent runs to provide informed answers.

The AI Agent Research Pipeline transforms raw research materials into structured, actionable, and presentable outputs, significantly streamlining your research workflow.