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<description>Notes on building production systems: AI agents, system design, cloud architecture, and data engineering — the decisions, the failure modes, and the fixes.</description>
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<title>IBM Docling for GenAI and RAG Workflows: A Hands-On Test</title>
<link>https://banercorp.com/blog/docling-field-test/</link>
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<pubDate>Fri, 30 Oct 2026 00:00:00 +0000</pubDate>
<description>IBM&#x27;s Docling (69,878 GitHub stars) converts complex, unstructured documents into structured data for GenAI and RAG workflows. This hands-on test runs it on a local machine against a plain-extraction baseline — Docling&#x27;s own technical report, the Transformer paper, a scanned page, a speech clip, and a video — with timings, output evidence, and a Go / No-Go / Monitor verdict.</description>
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<title>Beyond the Chatbot: Engineering a Multi-Agent System That Survives Enterprise Production</title>
<link>https://banercorp.com/blog/beyond-the-chatbot-multi-agent-system/</link>
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<pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate>
<description>I skipped the single &quot;super-agent&quot; and built five domain-isolated specialists on Vertex AI Agent Engine — then worked through the production hurdles that only show up at scale: orphaned sessions, silent memory failures, token bloat, and learning from transcripts without leaking PII.</description>
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<title>The Timeline of Modern AI · Decades in the Making</title>
<link>https://www.linkedin.com/pulse/timeline-modern-ai-decades-making-abhishek-banerjee-ew76e</link>
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<pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate>
<description>The real story of how modern AI came to exist: decades of ignored research, one competition, a few bold defections, and one chatbot that changed everything. 1986–2026.</description>
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<title>Connecting MCP Servers to GitHub for Real-Time SQL Lineage</title>
<link>https://medium.com/@abhishek.banerjee219/ai-agents-to-make-sense-of-your-data-lineage-bb3863a16543</link>
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<pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate>
<description>How I used the Model Context Protocol to build a ‘Code Analyst’ agent that traces SQL lineage across GitHub repos — and answers questions about the codebase in plain English.</description>
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