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AI-Powered Research Assistant using MindsDB Knowledge Bases with Multi-Step AI Workflow
ScholarMind is a command-line interface that transforms how researchers discover and explore academic papers. Instead of traditional keyword searches, use natural language queries to find contextually relevant research papers through semantic search powered by MindsDB. The system now includes a multi-step AI workflow that automatically generates summaries for research papers using AI tables.
Automatic Summary Generation: When papers are inserted, the system automatically generates AI-powered summaries using GPT-4
AI Table Integration: Uses MindsDB AI tables to create intelligent summaries from paper abstracts
Enhanced Search Results: View AI-generated summaries alongside search results
Standalone Summary Generation: Generate summaries for papers without inserting them into the knowledge base
🔗 Multi-Step Workflow
Knowledge Base Creation: Sets up research papers knowledge base with semantic search
AI Table Setup: Creates `paper_summarizer_model` for automatic summarization
Paper Insertion: Automatically generates summaries during insertion
Enhanced Search: Displays summaries in search results with summary indicators
Summary Viewing: Dedicated interface to view detailed paper information with AI summaries
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