EnDevSols/aralense-base-v1.0
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At EnDevSols, we focus on applied AI engineering for production-ready RAG systems, AI agents, document intelligence, LLM evaluation, and secure model deployment. Our core interests include hallucination-resistant Retrieval-Augmented Generation pipelines, agentic workflows with tool use and memory, LLM integration, retrieval quality testing, and specialized Small Language Models for privacy-aware enterprise AI systems. We also develop open-source infrastructure for document parsing, RAG evaluation, LLM observability, and reliable AI chatbot workflows.