RAG engineering: your problem is almost always retrieval quality
When a RAG system gives bad answers, teams blame the model. Usually the fault is upstream, in retrieval. Here is how to…
humaineeti contributor
Category: Technology
Engineering deep-dives on AI infrastructure, retrieval and tooling.
humaineeti contributor
LangGraph vs CrewAI vs AutoGen: choosing an agent orchestration framework
LangGraph, CrewAI and AutoGen solve multi-agent orchestration in genuinely different ways. This is an honest comparison of the three, and how to…
humaineeti contributor
The new enterprise MCP spec moves the hard part onto your plate
MCP is going stateless and cloud-native with the 2026-07-28 release. That makes enterprise-scale agents possible, and it hands authentication, authorization and transport…
humaineeti contributor
MongoDB Atlas hybrid search with $rankFusion: a practitioner’s guide
MongoDB Atlas now combines full-text and vector search in a single $rankFusion stage using reciprocal rank fusion. Here is how it works,…
humaineeti contributor
Introducing humaineeti: agentic AI, engineered to earn its keep
humaineeti engineers governed, outcome-driven agentic AI and generative AI for the enterprise — built for production and trusted from day one. Here…
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