Prompts
Retrieval Pipeline and Context Window Trace Prompts
Retrieval Pipeline and Context Window Trace Prompts
Prompt playbooks for inspecting what was retrieved, how it was ranked, and what fit inside the context window during a production request. Useful for search engineers and RAG developers because retrieval quality issues surface as missing evidence, irrelevant context, or truncated documents visible only in the trace.
Retrieved Chunk Relevance Scoring Prompt
For search engineers diagnosing retrieval quality from production traces. Scores each retrieved chunk against the user query for relevance, producing a ranked list with justification. Includes eval checks for scoring consistency and threshold calibration.
Context Window Truncation Detection Prompt
For RAG developers investigating incomplete answers. Analyzes a production trace to detect whether retrieved documents were truncated before reaching the model, identifying which chunks were cut and what evidence was lost. Includes verification against token budget logs.
Missing Evidence Identification Prompt
For quality engineers reviewing RAG failures. Compares the model's generated claims against all retrieved context to flag statements that lack supporting evidence, producing a gap report with specific missing fact patterns. Includes eval checks for false positive grounding claims.
Retrieval Source Ranking Audit Prompt
For search engineers tuning retrieval pipelines. Reviews the ranked order of retrieved documents in a production trace and assesses whether the ranking reflects true relevance to the query, flagging misranked sources. Includes comparison against relevance labels or user click data.
RAG Citation Grounding Verification Prompt
For RAG developers validating answer faithfulness. Extracts every citation in a generated answer and verifies that the cited source actually contains the claimed information, producing a per-citation grounding score. Includes detection of fabricated or misattributed citations.
Retrieved Passage Deduplication Prompt
For infrastructure engineers optimizing context window usage. Identifies semantically duplicate or near-duplicate passages in the retrieved set from a production trace, quantifying wasted token budget. Includes similarity threshold configuration and false-positive duplicate risk.
Context Window Token Budget Breakdown Prompt
For FinOps and infrastructure engineers analyzing cost drivers. Parses a production trace to itemize token consumption by category: system prompt, retrieved context, user input, tool calls, and generated output. Produces an allocation report with waste identification.
Irrelevant Context Flagging Prompt
For RAG developers reducing noise in retrieval. Reviews each retrieved passage in a production trace and flags chunks that are irrelevant to the user query despite being retrieved, producing a noise ratio score. Includes eval checks for borderline relevance cases.
Retrieval Query-to-Document Match Scoring Prompt
For search engineers evaluating retrieval quality. Scores the semantic match between the user's original query and each retrieved document from a production trace, producing a distribution analysis that reveals retrieval strength or weakness. Includes calibration against embedding similarity scores.
Context Window Packing Efficiency Audit Prompt
For platform engineers optimizing prompt assembly. Analyzes how retrieved documents were packed into the context window in a production trace, measuring wasted space from formatting overhead, separators, and partial chunk inclusion. Produces an efficiency score and packing recommendations.
Retrieved Document Freshness Evaluation Prompt
For RAG developers managing time-sensitive knowledge bases. Reviews retrieved documents in a production trace for temporal relevance, flagging stale or outdated content relative to the query's implied time horizon. Includes freshness scoring with configurable decay curves.
Cross-Encoder Reranking Trace Review Prompt
For search engineers auditing reranking effectiveness. Compares the initial retrieval ranking against the final reranked order in a production trace, assessing whether the cross-encoder improved relevance or introduced ranking errors. Produces a before/after relevance analysis.
Hybrid Search Weight Tuning Analysis Prompt
For search engineers calibrating hybrid retrieval. Analyzes a production trace to determine the relative contribution of sparse and dense retrieval signals to the final result set, flagging cases where one modality dominated inappropriately. Includes weight adjustment recommendations.
Vector Similarity Threshold Calibration Prompt
For infrastructure engineers tuning retrieval precision. Reviews production traces where vector search returned low-similarity results, analyzing whether the similarity threshold should be raised or lowered based on relevance outcomes. Produces threshold recommendations with precision-recall tradeoffs.
Keyword Retrieval Coverage Gap Detection Prompt
For search engineers identifying retrieval blind spots. Analyzes production traces to detect queries where keyword-based retrieval failed to surface relevant documents that semantic search also missed, producing a coverage gap report. Includes recommendations for index or query expansion improvements.
Metadata Filter Effectiveness Audit Prompt
For RAG developers validating filter logic. Reviews production traces to assess whether metadata filters correctly included or excluded documents, flagging cases where filters were too aggressive or too permissive. Produces a filter accuracy score with false positive/negative breakdown.
Context Window Content Salience Ranking Prompt
For prompt engineers optimizing context assembly. Ranks every piece of content in the context window of a production trace by its likely contribution to the final answer, identifying low-salience content that could be removed. Includes eval checks against answer faithfulness when content is hypothetically dropped.
Retrieved Passage Contradiction Detection Prompt
For RAG developers diagnosing conflicting evidence. Identifies pairs of retrieved passages in a production trace that contradict each other on factual claims, producing a conflict report with specific contradictory statements. Includes severity scoring for answer-impacting conflicts.
Document Chunk Boundary Quality Assessment Prompt
For search engineers evaluating chunking strategies. Analyzes retrieved chunks in a production trace to detect whether chunk boundaries split coherent ideas, producing a boundary quality score. Flags chunks that start or end mid-sentence or mid-concept.
Retrieval Latency Step-by-Step Trace Prompt
For infrastructure engineers diagnosing retrieval slowdowns. Parses a production trace to break down retrieval latency by step: query embedding, index search, metadata filtering, reranking, and result assembly. Produces a latency attribution report identifying bottlenecks.
Embedding Model Drift Detection Prompt
For MLOps engineers monitoring embedding quality. Compares vector similarity patterns from current production traces against historical baselines to detect embedding model drift, producing a drift score and affected query categories. Includes threshold recommendations for investigation triggers.
Context Window Overflow Root-Cause Prompt
For platform engineers debugging token limit errors. Analyzes a production trace where the context window exceeded limits, identifying which component caused the overflow and whether it was preventable. Produces a root-cause classification and remediation recommendation.
RAG Answer Faithfulness Trace Audit Prompt
For quality engineers evaluating end-to-end RAG quality. Reviews the full retrieval-to-generation trace to assess whether the final answer is faithful to the retrieved evidence, producing a faithfulness score with specific hallucination or omission flags. Includes comparison against human faithfulness judgments.
Source Attribution Completeness Check Prompt
For RAG developers validating citation coverage. Reviews a production trace to determine whether every factual claim in the generated answer has a corresponding source citation, flagging unsupported claims. Produces an attribution coverage score with missing-citation locations.
Retrieved Context Redundancy Scoring Prompt
For infrastructure engineers reducing token waste. Measures the information overlap across all retrieved passages in a production trace, producing a redundancy score that quantifies how much context window space was consumed by repetitive content. Includes deduplication savings estimates.
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