Data Engineering Rag
52 resources · page 2 of 2
AI-Network-Troubleshooting-PoC (Cisco Code Exchange)
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Cisco Code Exchange entry for a proof-of-concept that uses AI agents and telemetry to troubleshoot network faults.
RAG survey (Gao et al.)
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arXiv paper (2023) surveying retrieval-augmented generation for LLMs with a naive, advanced and modular RAG taxonomy.
Ragas
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Ragas documentation: open-source framework with metrics for evaluating RAG and LLM applications.
aider docs: Usage
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Aider usage documentation: how to add files, chat and edit code in a git repo, including with local models.
Selectel tutorial: Deploying a private LLM in a Kubernetes cluster
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Selectel tutorial in Russian on deploying a private LLM and RAG stack (vLLM, Qdrant, n8n) in Managed Kubernetes.
JetBrains AI Assistant: Generate documentation
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JetBrains AI Assistant documentation on generating code documentation with AI and customising the prompt.
Get started with Copilot in Excel (Excel support)
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Microsoft Support getting-started guide for Copilot in Excel: data analysis, formulas and charts.
The Pile
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arXiv paper (2021) "The Pile: An 800GB Dataset of Diverse Text for Language Modeling", describing its 22 component sources and construction.
Writing tests with GitHub Copilot
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GitHub tutorial on generating unit and integration tests with GitHub Copilot.
Alibi Detect
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Alibi Detect documentation: Python library for outlier, adversarial and data-drift detection in ML systems.
Cleanlab documentation
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Cleanlab documentation: open-source library for finding label errors and data issues in ML datasets.
Datasheets for Datasets
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Microsoft Research page for Datasheets for Datasets, proposing standard documentation for ML datasets.
LanceDB documentation
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LanceDB documentation: multimodal lakehouse and vector database for AI data, with versioned tables and retrieval.
NeurIPS paper checklist
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NeurIPS paper checklist covering assumptions, limitations, experimental details, reproducibility and broader impacts.
Qdrant documentation
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Qdrant documentation: vector search engine with quickstarts, filtering, hybrid search and deployment guides.
Retrieval-Augmented Generation
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arXiv paper (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", introducing retrieval-augmented generation (RAG).
Weaviate documentation
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Weaviate documentation: open-source vector database with guides on indexing, search and RAG pipelines.
DataComp / DCLM
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DataComp site: data-centric benchmarks for building better training datasets for CLIP models and language models (DCLM).
DCLM paper
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arXiv paper (2024) introducing DataComp-LM (DCLM), a testbed for curating language model training sets.
Microsoft GraphRAG
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Microsoft GraphRAG documentation: RAG approach that builds an LLM-generated knowledge graph for global summarisation queries.