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2026-02-07 06:00:01 -

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2026-02-07 06:00:01 -

This MarkTechPost tutorial walks through building an agentic AI system with some genuinely useful architectural patterns — hybrid retrieval combining TF-IDF and embeddings, provenance tracking for citations, and repair loops for self-correction. If you've been experimenting with RAG systems and hitting accuracy walls, the hybrid retrieval fusion approach here is worth a look.

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How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory

In this tutorial, we build an ultra-advanced agentic AI workflow that behaves like a production-grade research and reasoning system rather than a single prompt call. We ingest real web sources asynchronously, split them into provenance-tracked chunks, and run hybrid retrieval using both TF-IDF (sparse) and OpenAI embeddings (dense), then fuse results for higher recall and […] The post How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repai

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