An Offline intelligent inventory management system that uses LLMs (Large Language Models) to process natural language queries and manage inventory data through MongoDB.
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Updated
Feb 5, 2025 - Python
An Offline intelligent inventory management system that uses LLMs (Large Language Models) to process natural language queries and manage inventory data through MongoDB.
Offline Q&A over Wikipedia ZIM files – full‑text + semantic search using TurboRag. Zero internet required after setup. Run on low‑CPU, low‑RAM devices. using llama.cpp
Local CLI toolbox experiments for agent workflows — archived experiment
Autonomous offline classification agent that profiles unseen datasets, generates adaptive execution plans, trains models, reflects on results, and replans; all without LLM or cloud dependencies. Features rule-based planning, multi-criteria reflection, and persistent memory with meta-learning.
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