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Repair RAG Retrieval, Grounding & Citation Failures
Repair RAG Retrieval, Grounding & Citation Failures is a bounded ToolForge Labs workflow.
$8.99
Repair RAG Retrieval, Grounding & Citation Failures
Example session with this skill installed
Our RAG assistant sometimes cites the wrong document, retrieves stale chunks after a source update, and misses a clearly relevant passage when metadata filters are enabled. Repair retrieval and citation binding without relaxing tenant access controls.
- Read your context and instructions
- Compiled the repair rag retrieval
The likely issue is a contract mismatch around RAG retrieval, chunking, filters, embeddings/index versions, ranking, context assembly, grounding, citations, stale content, access control, and evaluation. I would first define the invariant: A generated claim may cite a source only when the exact context fragment supplied to the model can be traced to an authorized current source and supports that claim; retrieval misses and unsupported citations must remain observable. Then I would trace the smallest owning boundary, apply or propose a bounded repair/review step, and add deterministic normal, boundary, failure and replay tests. The workflow preserves source access controls, privacy, document ownership, citation/provenance requirements, and product answer policy. If repository/workspace files are available, the findings can be mapped to exact paths and focused local validation; with partial evidence, the result stays an explicit diagnosis/evidence map with assumptions and no invented execution claims.
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What you get
About this skill
Repair RAG Retrieval, Grounding & Citation Failures is a bounded ToolForge Labs workflow. Diagnose, review, and repair RAG retrieval, chunking, filters, embeddings/index versions, ranking, context assembly, grounding, citations, stale content, access control, and evaluation. Works from repositories/workspaces or partial supplied evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving source access controls, privacy, document ownership, citation/provenance requirements, and product answer policy and avoiding invented execution claims. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.
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- 3
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