The Kalsnet Universal Search and Reasoning Engine is a Streamlit application that demonstrates roughly ninety (90) search and reasoning algorithms organized into 13 categories, ranging from classical uninformed search like DFS and BFS, through heuristic methods like A Star, adversarial game search, optimization and constraint techniques, string and database search, graph algorithms, information retrieval, and modern AI methods like embeddings and RAG, to probabilistic, distributed, and cybersecurity focused search. Each technique runs against either synthetic data generated on the fly or data the user uploads, such as network graphs, documents, business records, or map coloring regions, with every generator now producing genuinely varied results instead of always defaulting to the same seed. Every algorithm's explanation now also states when to use it, its benefits, and real world use cases, and every schema table documents exactly how each field's value is calculated. For the Modern AI and LLM category, the app can call a real OpenAI, Gemini, or Grok API key to generate embeddings or AI answers, falling back to transparent synthetic substitutes when no key is provided. Results are visualized with graphs, charts, or trees and can be exported as text, Word, PDF, or CSV summaries.
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