Enterprise RAG Pipeline
Production-ready RAG pipeline with ingestion, chunking, embedding, retrieval, and generation.
Real-world AI system diagrams, patterns, and reference architectures you can learn from, adapt, and build on.
An end-to-end multi-agent architecture that autonomously triages, analyzes, and resolves IT operations incidents with human-in-the-loop guardrails and observability.
Production-ready RAG pipeline with ingestion, chunking, embedding, retrieval, and generation.
Supervisor → Agents → Tools pattern with memory, planning, and tool-use.
Centralized gateway for LLM routing, guardrails, rate limiting, caching & cost optimization.
Centralized gateway with cost controls, budget-aware routing, and semantic caching.
End-to-end evals, tracing, metrics, feedback loops, and model monitoring.
Secure, compliant GenAI architecture on AWS with private networking and guardrails.
Combine keyword, vector, and reranking for high-quality retrieval at scale.
Golden datasets, LLM judges, and CI gates for measurable retrieval quality.
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