GenAI Consulting
Insights

Building with Generative AI

Practical guides, architecture notes, and lessons from shipping GenAI to production.

Building a Golden Set for Production RAG

Building a Golden Set for Production RAG

How to curate, refresh and use a high-signal RAG golden set: real queries, retrieval and answer labels, edge cases and drift refreshes.

GenAI Consulting25 min read
Choosing Freshness SLAs for Enterprise RAG

Choosing Freshness SLAs for Enterprise RAG

How to set freshness targets for enterprise RAG and design sync, reindexing, cache invalidation and staleness budgets around each use case.

GenAI Consulting26 min read
Tenant-Aware Evaluation for Enterprise GenAI

Tenant-Aware Evaluation for Enterprise GenAI

How to build tenant-aware evals and release gates for multi-tenant GenAI, with leakage probes for RAG, caches, agents, memory and observability.

GenAI Consulting23 min read
Reranking in Production RAG Within Latency Budgets

Reranking in Production RAG Within Latency Budgets

How to add reranking to production RAG: architecture, model choices, candidate sizing, score fusion, evals and latency and cost tradeoffs.

GenAI Consulting22 min read
Canary Releases for Production GenAI Systems

Canary Releases for Production GenAI Systems

How to canary prompt, retrieval, reranker, model and routing changes with traffic shaping, guardrails, evals and rollback triggers.

GenAI Consulting25 min read
Semantic Caches for RAG Without Data Leakage

Semantic Caches for RAG Without Data Leakage

How to design semantic caching for RAG: answer vs retrieval caching, ACL isolation, grounding revalidation, freshness invalidation and risk scoring.

GenAI Consulting25 min read
Prompt Optimization Without Fine-Tuning

Prompt Optimization Without Fine-Tuning

How to treat prompt optimization as engineering: experiments, versioning, routing, evals, regression gates and observability before you fine-tune.

GenAI Consulting24 min read
Query Rewriting in Production RAG Systems

Query Rewriting in Production RAG Systems

When to rewrite, expand or decompose queries in RAG, how to preserve intent and permissions, and how to evaluate the effect on retrieval.

GenAI Consulting23 min read
Session Memory Design for Production LLMs

Session Memory Design for Production LLMs

How to design short-term and long-term memory for LLM apps: session state, summaries, profiles, external stores, privacy boundaries and debugging.

GenAI Consulting24 min read
Building an LLM-as-Judge Program for Evals

Building an LLM-as-Judge Program for Evals

How to run LLM-as-judge evaluation that avoids bias, leakage and false confidence through calibration, cross-model checks and human review.

GenAI Consulting23 min read
Deterministic Preprocessing Pipelines for RAG

Deterministic Preprocessing Pipelines for RAG

How to build RAG preprocessing that survives production: stable parsing, chunking, metadata, hashing, lineage, regression tests and rollout.

GenAI Consulting24 min read
Grounded Citation Pipelines for Enterprise RAG

Grounded Citation Pipelines for Enterprise RAG

How to build enterprise RAG citations that are verifiable and stable, with passage-level attribution, stable IDs, span alignment and validation.

GenAI Consulting25 min read
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