RAG & GenAI Copilot listing changes

How this plugin's listing changed from one daily snapshot to the next, with its rank by placement that day and a day, a week and four weeks later. Rank movement after a change shows what happened next, not what caused it; the directory-wide page compares it with every other plugin.

6 changes since November 2, 2026, newest first. A dash means no rank was recorded that day; “due” means the day hasn't come yet.

Field	Change	Age	Rank by placement	Then	Category rank, 7d
Nov 2 → Nov 3 · 6 changes
Capabilities	Added: Design RAG architectures with evidence, freshness, authorization, and evaluation boundaries Build or improve RAG pipelines when coding tools and project access are available Diagnose ingestion, chunking, indexing, retrieval, reranking, and context failures Evaluate ranking, grounded answers, citations, abstention, and regressions by slice Review data isolation, prompt injection, poisoned documents, and access controls Plan production containment, safe rollback, and incident recovery Show 4 moreShow fewer Compare vector search, hybrid retrieval, rerankers, models, and trade-offs Add tracing for answer evidence, latency, cost, failures, and index freshness Coordinate real specialist agents where supported; otherwise work sequentially Prepare regression checks and release evidence without inventing test results Removed: Design production RAG architectures for quality, freshness, security, latency, and cost Debug retrieval and grounded-generation failures from traces, logs, prompts, and evals Diagnose parsing, chunking, indexing, metadata, filtering, reranking, and context issues Evaluate retrieval quality, groundedness, citation correctness, abstention, and regressions Review prompt injection, RAG poisoning, cross-tenant leakage, and authorization risks Plan low-blast-radius incident containment, verification, rollback, and permanent fixes Show 4 moreShow fewer Improve hybrid retrieval, query rewriting, reranking, context packing, and source precedence Design observability for retrieval traces, model calls, citations, latency, tokens, and cost Compare retrievers, rerankers, models, vector stores, and architecture trade-offs Use current official documentation for model, vector-store, SDK, security, and platform changes	30–90 d	#5520	1d#5556 36places down 7ddue Nov 10 28ddue Dec 1	#498 due Nov 10
Description	614 chars 598 chars rewritten, 26% kept · added: inspect, focused, workflows, diagnose, grounded, answers +4 more · removed: rag, genai, copilot, helps, debug, operate +4 more
Skills	Added: audit-citations build-rag-system compare-rag-stacks debug-rag design-ingestion-indexing design-retrieval Show 8 moreShow fewer evaluate-rag modernize-rag observe-rag optimize-rag orchestrate-rag-agents plan-rag-architecture respond-rag-incident secure-rag
Keywords	Added: embeddings groundedness citations rag-security agents Removed: llm security
Version	0.1.0 0.2.0
One-liner	Build and debug production RAG Build and debug reliable RAG