Update to RAG & GenAI Copilot
Snapshot Nov 3, 2026 · 00:12 UTC · version 0.2.0
Declared capabilities changed
Declared skills — Now says: [{"description":"Audit claim-level evidence support, source provenance, citation correctness, conflicting evidence and abstention...
Observed in instructions or declared skills. Runtime behavior has not been tested.
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Declared skills
Oct 27, 2026 · 00:42 UTC
[{"description":"Production-focused workflow for designing, debugging, evaluating, securing, and operating RAG and grounded GenAI systems across ingestion, retrieval, reranking, context, citations, observability, latency, and cost.","int...
Nov 3, 2026 · 00:12 UTC
[{"description":"Audit claim-level evidence support, source provenance, citation correctness, conflicting evidence and abstention behavior.","interface":{"brand_color":null,"default_prompt":null,"display_name":"audit-citations","icon_lar...
Short description
Oct 27, 2026 · 00:42 UTC
Build and debug production RAG
Nov 3, 2026 · 00:12 UTC
Build and debug reliable RAG
Long description
Oct 27, 2026 · 00:42 UTC
Production RAG & GenAI Copilot helps you design, debug, evaluate, secure, and operate retrieval-augmented generation systems. It can trace failures across ingestion, parsing, chunking, indexing, retrieval, reranking, context construction...
Nov 3, 2026 · 00:12 UTC
Build, inspect, improve, evaluate and secure retrieval-augmented generation systems using focused production workflows. Diagnose ingestion, parsing, indexing, retrieval, reranking, grounded answers, citations and access-control failures....
Full description
Oct 27, 2026 · 00:42 UTC
Production-focused RAG architecture, debugging, evaluation, security, and reliability.
Nov 3, 2026 · 00:12 UTC
Engineering-focused RAG architecture, implementation, debugging, evaluation, security, incidents, and reliability workflows.
Compare saved observations
Download comparison JSONFull technical diff · 18 changed fields
changed /release/description
"Production-focused RAG architecture, debugging, evaluation, security, and reliability."
"Engineering-focused RAG architecture, implementation, debugging, evaluation, security, incidents, and reliability workflows."
changed /release/id
"pluginrel_67eb54147fcc81918725bef6bfc02a8a"
"pluginrel_b5bdd76d1acc8191a2f474068a3fe8d6"
changed /release/interface/brand_color
null
"#1B2636"
changed /release/interface/capabilities
[ "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", "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" ]
[ "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", "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" ]
changed /release/interface/composer_icon_url
"https://files.openai.com/content?id=file_00000000488481f5aa1f8c8d62f420e5"
"https://files.openai.com/content?id=file_000000002d5081f8be87a783ae3dac72"
changed /release/interface/default_prompt
"Debug why this RAG system is returning the wrong evidence."
"Debug this RAG failure using my retrieval traces and identify the first failing layer."
changed /release/interface/default_prompts
[ "Debug why this RAG system is returning the wrong evidence.", "Design a production RAG architecture for this use case.", "Build an eval plan for retrieval, grounding, citations, and abstention." ]
[ "Debug this RAG failure using my retrieval traces and identify the first failing layer.", "Design a secure production RAG architecture for this corpus and access model.", "Create an evaluation plan for retrieval, grounded answers, citations, and abstention." ]
changed /release/interface/developer_name
"Krishna Sathvik"
"Tekris Labs"
changed /release/interface/logo_url
"https://files.openai.com/content?id=file_0000000077a082308e071300dbcf0d65"
"https://files.openai.com/content?id=file_000000006e6c81f89727a5e18305c2af"
changed /release/interface/long_description
"Production RAG & GenAI Copilot helps you design, debug, evaluate, secure, and operate retrieval-augmented generation systems. It can trace failures across ingestion, parsing, chunking, indexing, retrieval, reranking, context construction, generation, citations, authorization, and evaluation; design practical RAG architectures; build retrieval and groundedness evals; review prompt-injection and data-leakage risks; and improve observability, latency, and cost. It favors measurable evidence, reversible fixes, source-level authorization, and simple architectures over prompt-only fixes or unnecessary complexity."
"Build, inspect, improve, evaluate and secure retrieval-augmented generation systems using focused production workflows. Diagnose ingestion, parsing, indexing, retrieval, reranking, grounded answers, citations and access-control failures. Design measurable evaluation sets, reliability plans, incident playbooks, observability and latency/cost trade-offs. Supports practical coding and real specialist-agent delegation when tools are available. This is a skills-only plugin: it does not independently query private indexes, execute production evaluations, access your repositories or deploy changes."
changed /release/interface/privacy_policy_url
null
"https://tekrislabs.com/privacy"
changed /release/interface/short_description
"Build and debug production RAG"
"Build and debug reliable RAG"
changed /release/interface/terms_of_service_url
null
"https://tekrislabs.com/terms"
changed /release/interface/website_url
null
"https://tekrislabs.com/"
changed /release/keywords
[ "rag", "genai", "retrieval", "llm", "evaluation", "security", "observability" ]
[ "rag", "genai", "retrieval", "embeddings", "groundedness", "citations", "evaluation", "rag-security", "observability", "agents" ]
changed /release/onboarding_skill_name
null
"production-rag-genai-copilot"
changed /release/skills
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Full snapshot data
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