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Deep Dive LLMs

RAG in 2026: When Vector Search Hits the Wall and What Comes Next

Vector search fails on 34% of complex production queries. After deploying RAG across 200+ enterprise applications, we found that naive embedding-based retrieval breaks on multi-hop reasoning, temporal queries, and domain-specific jargon. Here is what actually works.

Deepak Bagada Deepak Bagada
7m read
Deep Dive LLMs

Agent-to-Agent Protocol Wars: A2A vs MCP vs Agent Plugins in 2026

Three agent communication protocols are battling for dominance in 2026: Google's A2A for agent-to-agent, Anthropic's MCP for tool access, and the Linux Foundation's Agent Plugins for portable skills. Here's how they compare, where they overlap, and the convergence pattern that's winning.

Deepak Bagada Deepak Bagada
6m read
Deep Dive LLMs

The Real Cost of Running 1,000 AI Agents: Token Economics at Scale in 2026

Running 1,000 concurrent AI agents at GPT-5.6 Sol costs $47,400/month. With intelligent model routing, semantic caching, and tiered deployment, that drops to $3,200/month — a 93% reduction. Here's the complete cost breakdown and the routing strategies making it possible.

Deepak Bagada Deepak Bagada
7m read
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