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RAG & GenAI Copilot

Find the first layer where your RAG breaks.

A production assistant for retrieval-augmented generation. It traces failures across ingestion, retrieval, reranking, context, and citations, and it prefers measured, reversible fixes to prompt tweaks.

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01 — The product

What is RAG & GenAI Copilot?

RAG & GenAI Copilot helps you design, build, debug, evaluate, and secure retrieval-augmented systems. It also covers citation audits, production incidents, observability, latency, cost, legacy migrations, and choices between retrievers, rerankers, models, and vector stores.

It’s meant for engineers who own a RAG system in production and need to explain why an answer was wrong, stale, unsupported, or shown to the wrong user.

It checks whether the right evidence reached the model before blaming the model, and treats retrieved content as untrusted data, never as instructions. It won’t add rerankers, query rewriting, agents, or graph layers without proving their value.

02 — Real workflow

Answers cite an archived refund policy

The problem

A support assistant keeps quoting the old refund window. The current policy is in the index, but answers still cite the archived version.

Retrieval traceyaml
query: refund window for annual plans
filters: tenant_id=t_042
retrieved:
  - refund-policy-v3#12  score=0.81  status=archived
  - refund-policy-v4#4   score=0.77  status=current
  - billing-faq#2        score=0.64
context_ids: [v3#12, v3#13, faq#2]
citation: v3#12

How RAG & GenAI Copilot approaches it

  1. 1Walks the trace one boundary at a time: filters, retrieval, reranking, context packing, generation, and citation mapping.
  2. 2Finds the first failure. The current policy was retrieved but dropped during context construction, so this is not a generation problem.
  3. 3Recommends an explicit source precedence and version policy based on status and effective version, instead of a prompt instruction.
  4. 4Adds conflicting-source and stale-source cases to the eval set and checks citation correctness before rollout.

Expected result

A diagnosis with a confidence level, the smallest test that confirms it, and a reversible fix. It also includes eval cases that guard against regression.

Illustrative workflow. It doesn’t depict a real session, system, or result.

03 — Areas of expertise

Where it helps

  • Ingestion and retrieval

    Covers parsing, chunking, stable IDs, and idempotent reindexing, plus lexical, vector, and hybrid search with metadata filters. Measures candidate recall before adding a reranker.

  • Evaluation design

    Evals that start from the product decision. Retrieval, context, generation, citations, and abstention are scored separately, by slice. Automated judges are paired with targeted human review.

  • Security and authorization

    Prompt injection, poisoned documents, cross-tenant leakage, and exfiltration through citations or URLs. Authorization is enforced before content reaches the model. Prompts and answer redaction are not access control.

  • Production incident response

    Reversible, low-blast-radius containment such as reverting the last config or restricting a scope, with traces and index versions preserved. No destructive index rebuilds without a recovery plan.

04 — Working with RAG & GenAI Copilot

What to provide and what to expect

Share

  • Retrieval traces with chunk IDs, scores, and filters
  • The prompt and the final context sent to the model
  • Example queries with expected and actual answers
  • Eval results, corpus details, and model or provider details
  • Architecture and ingestion details, or the repository for code changes

Expect

  • The dominant failing layer, with a confidence level
  • The smallest test that confirms or rules out the leading hypothesis
  • Eval plans with datasets, metrics, and regression gates
  • Architecture and stack recommendations with trade-offs and a reversible pilot

It can’t query your vector store, run retrieval or eval jobs, or change production systems on its own. It reasons from the traces, configs, and results you share, and labels unrun checks as unrun.