--- id: "/context-engineering/retrieval-and-rag/page/3/" title: "Retrieval And Rag: 89 curated resources · page 3" creator: null creator_url: null creator_x: null url: "https://skillissue.dev/context-engineering/retrieval-and-rag/page/3/" level: null level_max: null category: null subcategory: null region: null license: null license_scope: null access: null models: null source_date: null date_added: null resource_kind: null verification_basis: null access_evidence: null domain_top: null domain_sub: null last_verified: null --- # Retrieval And Rag: 89 curated resources Curated material on retrieval and rag within context engineering. [Beginner](/context-engineering/beginner/index.md) [Intermediate](/context-engineering/intermediate/index.md) [Advanced](/context-engineering/advanced/index.md) [Expert](/context-engineering/expert/index.md) 89 resources · page 3 of 3 - ### [HANDBOOK.md Benchmark (Surge AI)](/context-engineering/retrieval-and-rag/surge-ai-handbook-md-benchmark/index.md) Creator not supplied; see original source. Surge AI post on HANDBOOK.md, a benchmark testing whether agents follow long company policy handbooks. Intermediate · unknown · unknown resource · en - ### [HellaSwag or HellaBad? (Surge AI)](/context-engineering/retrieval-and-rag/surge-ai-hellaswag-or-hellabad-36-contains-errors/index.md) Creator not supplied; see original source. Surge AI audit reporting errors in 36% of HellaSwag benchmark rows, with examples. Intermediate · unknown · unknown resource · en - ### [The Pile](/context-engineering/retrieval-and-rag/the-pile/index.md) Creator not supplied; see original source. arXiv paper (2021) "The Pile: An 800GB Dataset of Diverse Text for Language Modeling", describing its 22 component sources and construction. Intermediate · unknown · unknown resource · en - ### [How Shopify and Toloka built a ground-truth flywheel](/context-engineering/retrieval-and-rag/toloka-shopify-toloka-ground-truth-flywheel/index.md) Creator not supplied; see original source. Toloka case study on building a human-labelled ground-truth loop with Shopify to keep skill agents accurate. Intermediate · unknown · unknown resource · en - ### [Writing tests with GitHub Copilot](/context-engineering/retrieval-and-rag/unit-and-integration-test-generation-writing-tests-with-github-copilot-verified-/index.md) Creator not supplied; see original source. GitHub tutorial on generating unit and integration tests with GitHub Copilot. Intermediate · unknown · unknown resource · en - ### [Ai2 model cards and datasets](/context-engineering/retrieval-and-rag/ai2-model-cards-and-datasets/index.md) Creator not supplied; see original source. Ai2's Hugging Face organisation page listing its model checkpoints, model cards and datasets, including OLMo. Advanced · unknown · unknown resource · en - ### [Alibi Detect](/context-engineering/retrieval-and-rag/alibi-detect/index.md) Creator not supplied; see original source. Alibi Detect documentation: Python library for outlier, adversarial and data-drift detection in ML systems. Advanced · unknown · unknown resource · en - ### [Cleanlab documentation](/context-engineering/retrieval-and-rag/cleanlab-documentation/index.md) Creator not supplied; see original source. Cleanlab documentation: open-source library for finding label errors and data issues in ML datasets. Advanced · unknown · unknown resource · en - ### [Datasheets for Datasets](/context-engineering/retrieval-and-rag/datasheets-for-datasets/index.md) Creator not supplied; see original source. Microsoft Research page for Datasheets for Datasets, proposing standard documentation for ML datasets. Advanced · unknown · unknown resource · en - ### [LanceDB documentation](/context-engineering/retrieval-and-rag/lancedb-documentation/index.md) Creator not supplied; see original source. LanceDB documentation: multimodal lakehouse and vector database for AI data, with versioned tables and retrieval. Advanced · unknown · unknown resource · en - ### [LLM-jp corpora (GitLab)](/context-engineering/retrieval-and-rag/llm-jp-corpora-gitlab/index.md) Creator not supplied; see original source. LLM-jp datasets on the NII GitLab: open Japanese pretraining corpora. Advanced · unknown · unknown resource · ja - ### [NeurIPS paper checklist](/context-engineering/retrieval-and-rag/neurips-paper-checklist/index.md) Creator not supplied; see original source. NeurIPS paper checklist covering assumptions, limitations, experimental details, reproducibility and broader impacts. Advanced · unknown · unknown resource · en - ### [RAG Techniques](/context-engineering/retrieval-and-rag/nirdiamant-rag-techniques/index.md) by [Nir Diamant and contributors](https://github.com/NirDiamant/RAG_Techniques) Compare retrieval designs through code-oriented examples. Advanced · other · closed resource · en - ### [Qdrant documentation](/context-engineering/retrieval-and-rag/qdrant-documentation/index.md) Creator not supplied; see original source. Qdrant documentation: vector search engine with quickstarts, filtering, hybrid search and deployment guides. Advanced · unknown · unknown resource · en - ### [Retrieval-Augmented Generation](/context-engineering/retrieval-and-rag/retrieval-augmented-generation/index.md) Creator not supplied; see original source. arXiv paper (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", introducing retrieval-augmented generation (RAG). Advanced · unknown · unknown resource · en - ### [RL environments for LLM agents: Design, rewards, and validation (Snorkel)](/context-engineering/retrieval-and-rag/snorkel-rl-environments-for-llm-agents-design-rewards-validation/index.md) Creator not supplied; see original source. Snorkel AI post on designing RL environments for LLM agents: state, actions, rewards and validation. Advanced · unknown · unknown resource · en - ### [Partial Credit in RL: When It Opposes Completion (Snorkel)](/context-engineering/retrieval-and-rag/snorkel-when-partial-credit-opposes-completion/index.md) Creator not supplied; see original source. Snorkel AI post on how partial-credit rewards in reinforcement learning can work against task completion. Advanced · unknown · unknown resource · en - ### [Training Compute-Optimal Large Language Models](/context-engineering/retrieval-and-rag/training-compute-optimal-large-language-models/index.md) Creator not supplied; see original source. arXiv paper (2022) "Training Compute-Optimal Large Language Models", describing Chinchilla and compute-optimal model size versus training tokens. Advanced · unknown · unknown resource · en - ### [Weaviate documentation](/context-engineering/retrieval-and-rag/weaviate-documentation/index.md) Creator not supplied; see original source. Weaviate documentation: open-source vector database with guides on indexing, search and RAG pipelines. Advanced · unknown · unknown resource · en - ### [Synthetic Data in Investment Management (CFA Institute)](/context-engineering/retrieval-and-rag/cfa-institute-synthetic-data-in-investment-management-2025/index.md) Creator not supplied; see original source. CFA Institute Research and Policy Center report (2025) on synthetic data in investment management. Expert · unknown · unknown resource · en - ### [DataComp / DCLM](/context-engineering/retrieval-and-rag/datacomp-dclm/index.md) Creator not supplied; see original source. DataComp site: data-centric benchmarks for building better training datasets for CLIP models and language models (DCLM). Expert · unknown · unknown resource · en - ### [DCLM paper](/context-engineering/retrieval-and-rag/dclm-paper/index.md) Creator not supplied; see original source. arXiv paper (2024) introducing DataComp-LM (DCLM), a testbed for curating language model training sets. Expert · unknown · unknown resource · en - ### [Microsoft GraphRAG](/context-engineering/retrieval-and-rag/microsoft-graphrag/index.md) Creator not supplied; see original source. Microsoft GraphRAG documentation: RAG approach that builds an LLM-generated knowledge graph for global summarisation queries. Expert · unknown · unknown resource · en - ### [Do people click on links in Google AI summaries? (Pew Research Center)](/context-engineering/retrieval-and-rag/pew-research-google-users-less-likely-to-click-links-when-an-ai-summary-appears-/index.md) Creator not supplied; see original source. Pew Research short read on Google users clicking fewer links when an AI summary appears. Expert · unknown · unknown resource · en - ### [Yandex ШАД (School of Data Analysis)](/context-engineering/retrieval-and-rag/yandex-school-of-data-analysis/index.md) Creator not supplied; see original source. Yandex School of Data Analysis: free two-year Russian programme in ML, data analysis and engineering. 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