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Affichage de 17 skills collectés sur 17.
Eval-driven development loop for this repo (rag-loop, an aircraft-systems RAG app on LangGraph, OpenAI, Qdrant Cloud, and TruLens). Use when the user wants to run an experiment, inspect feedback metrics, or decide keep-or-reject on a config/prompt change.
Langue du texte source : anglais
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Langue du texte source : anglais
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', 'quality dropped after…
Langue du texte source : anglais
Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion). Use when someone asks 'RRF or DBSF?', 'how to combine sparse and dense', 'how to combine scores from multiple searches?', 'custom fusion', or 'fusion is not producing…
Langue du texte source : anglais
Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how to combine multiple fields for retrieval?', 'payloads or…
Langue du texte source : anglais
Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to combine results from multiple searches?' and 'combining…
Langue du texte source : anglais
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more…
Langue du texte source : anglais
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too…
Langue du texte source : anglais
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding…
Langue du texte source : anglais
Diagnose low evaluation scores and generate actionable improvement recommendations
Langue du texte source : anglais
Create and curate evaluation datasets with ground truth for TruLens
Langue du texte source : anglais
Configure feedback functions and selectors for TruLens evaluations
Langue du texte source : anglais
Configure and use feedback functions as runtime blocking guardrails
Langue du texte source : anglais
Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization
Langue du texte source : anglais
Execute and display Jupyter notebooks for TruLens demos and quickstarts
Langue du texte source : anglais
Execute TruLens evaluations and view results
Langue du texte source : anglais
Systematically evaluate your LLM application with TruLens
Langue du texte source : anglais
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/truera/trulens.Le README n’a pas pu être chargé. Vous pouvez toujours consulter les Skills du dépôt ci-dessous.