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Real systems built for real clients — APIs, AI agents, RAG pipelines, and automation tools that are live in production.
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View AllAgentic AI Document Assistant
Multi-agent RAG system built with LangGraph that reads PDFs, web pages, and Notion docs, then answers questions with cited sources. …
Read Case StudyRAG-Enhanced Customer Support Chatbot
LangChain chatbot connected to a company knowledge base via pgvector. Handles 80% of tier-1 support tickets autonomously with source citations.
Read Case Study7+
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