Architectural Benchmarks
Enterprise AI Comparisons & Evaluations
Empirical architectural comparisons evaluating frameworks, vector databases, and orchestration engines on enterprise security, latency, and maintainability.
Architectural Benchmark
12 min read
An architectural evaluation of LangChain, LlamaIndex, Haystack, and Custom Enterprise Gateways across enterprise requirements: hybrid retrieval, RBAC, latency, and maintainability.
Bhavin's Verdict: For enterprise production systems with strict security and low latency requirements, lightweight modular gateways or Haystack outperform heavyweight framework wrappers.
Architectural Benchmark
11 min read
An empirical comparison of dedicated vs relational vector databases evaluating indexing speed, hybrid search, filtering performance, RBAC isolation, and total cost at enterprise scale.
Bhavin's Verdict: Start with pgvector if your team already operates PostgreSQL. Transition to Qdrant or Weaviate for dedicated sub-50ms hybrid search across tens of millions of records.
Architectural Benchmark
10 min read
Evaluating LLM orchestration frameworks across enterprise criteria: developer velocity, architectural transparency, state determinism, and production maintainability.
Bhavin's Verdict: LangGraph and Haystack provide superior control for enterprise state machines; avoid open-ended autonomous agent frameworks for mission-critical core banking workflows.
Engineering Resource
The Enterprise AI Production Checklist
A rigorous 50-point engineering, security, and FinOps verification gate before promoting Generative AI and Agentic systems to live enterprise traffic.
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