--- id: "/tags/data-engineering-rag/page/2/" title: "Data Engineering Rag · page 2" creator: null creator_url: null creator_x: null url: "https://skillissue.dev/tags/data-engineering-rag/page/2/" 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 --- # Data Engineering Rag [Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md) 52 resources · page 2 of 2 - ### [AI-Network-Troubleshooting-PoC (Cisco Code Exchange)](/context-engineering/retrieval-and-rag/network-routing-fault-diagnosis-with-telemetry-and-agents-ai-network-troubleshoo/index.md) Creator not supplied; see original source. Cisco Code Exchange entry for a proof-of-concept that uses AI agents and telemetry to troubleshoot network faults. Intermediate–Advanced · unknown · unknown resource · en - ### [RAG survey (Gao et al.)](/context-engineering/retrieval-and-rag/rag-survey-gao-et-al/index.md) Creator not supplied; see original source. arXiv paper (2023) surveying retrieval-augmented generation for LLMs with a naive, advanced and modular RAG taxonomy. Intermediate · unknown · unknown resource · en - ### [Ragas](/context-engineering/retrieval-and-rag/ragas/index.md) Creator not supplied; see original source. Ragas documentation: open-source framework with metrics for evaluating RAG and LLM applications. Intermediate · unknown · unknown resource · en - ### [aider docs: Usage](/context-engineering/retrieval-and-rag/repository-aware-code-generation-and-editing-usage-aider-verified-local-models-s/index.md) Creator not supplied; see original source. Aider usage documentation: how to add files, chat and edit code in a git repo, including with local models. Intermediate–Advanced · unknown · unknown resource · en - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 [Previous page](/tags/data-engineering-rag/index.md) [Plain-text Markdown copy](/tags/data-engineering-rag/page/2/index.md)