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# Context Engineering

Select, retrieve and maintain information across model calls.

- [Context Management](/context-engineering/context-management/index.md) (5)

- [Retrieval And Rag](/context-engineering/retrieval-and-rag/index.md) (89)

- [Memory](/context-engineering/memory/index.md) (1)

- [Agent Instruction Files](/context-engineering/agent-instruction-files/index.md) (2)

- [Loop Engineering](/context-engineering/loop-engineering/index.md) (1)

[Beginner](/context-engineering/beginner/index.md) [Intermediate](/context-engineering/intermediate/index.md) [Advanced](/context-engineering/advanced/index.md) [Expert](/context-engineering/expert/index.md)

98 resources · page 3 of 4

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### [Selectel tutorial: Deploying a private LLM in a Kubernetes cluster](/context-engineering/retrieval-and-rag/selectel-private-llm-rag-in-managed-kubernetes/index.md)

Creator not supplied; see original source.

Selectel tutorial in Russian on deploying a private LLM and RAG stack (vLLM, Qdrant, n8n) in Managed Kubernetes.

Intermediate · unknown · unknown resource · ru 

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### [JetBrains AI Assistant: Generate documentation](/context-engineering/retrieval-and-rag/source-code-documentation-and-docstring-generation-generate-documentation-ai-ass/index.md)

Creator not supplied; see original source.

JetBrains AI Assistant documentation on generating code documentation with AI and customising the prompt.

Intermediate · unknown · unknown resource · en 

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### [Get started with Copilot in Excel (Excel support)](/context-engineering/retrieval-and-rag/spreadsheet-formula-and-workbook-automation-get-started-with-copilot-in-excel/index.md)

Creator not supplied; see original source.

Microsoft Support getting-started guide for Copilot in Excel: data analysis, formulas and charts.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Get started with Copilot in Excel](/context-engineering/retrieval-and-rag/spreadsheets-data-analysis/index.md)

Creator not supplied; see original source.

Microsoft Support guide to Copilot in Excel for analysing data, generating formulas and creating charts.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Benchmarks are broken (Surge AI)](/context-engineering/retrieval-and-rag/surge-ai-benchmarks-are-broken/index.md)

Creator not supplied; see original source.

Surge AI post arguing academic benchmarks poorly reflect model quality, with examples of benchmark flaws.

Intermediate · unknown · unknown resource · en 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [Effective harnesses for long-running agents](/context-engineering/loop-engineering/anthropic-effective-harnesses-long-running-agents/index.md)

by [Anthropic](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents)

Harness design for agents that work across many context windows.

Advanced · West · closed resource · en 

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### [Context Rot: How Increasing Input Tokens Impacts LLM Performance](/context-engineering/context-management/chroma-context-rot/index.md)

by [Chroma](https://www.trychroma.com/research/context-rot)

Measures how output quality drops as input length grows.

Advanced · West · closed resource · en 

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### [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 

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### [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 

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### [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 

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### [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 

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### [A Survey of Context Engineering for LLMs (arXiv 2507.13334)](/context-engineering/context-management/mei-et-al-a-survey-of-context-engineering-for-llms/index.md)

by [Mei et al. (Chinese Academy of Sciences et al.)](https://arxiv.org/abs/2507.13334)

A research map of retrieval, context processing and memory systems.

Advanced · CN · closed resource · en 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [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 

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### [Context Engineering for AI Agents: Lessons from Building Manus](/context-engineering/context-management/manus-context-engineering-lessons/index.md)

Creator not supplied; see original source.

Manus post on context engineering lessons: designing around the KV cache, masking tools and using the filesystem as memory.

Expert · unknown · unknown resource · en 

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### [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 

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