A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.
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1/8/2026
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