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Retrieval Augmented Generation Systems · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesRetrieval Augmented Generation Systems

Architectures that combine information retrieval with generative models to improve response accuracy.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Retrieval Augmented Generation Systems. Refine with filters or upvote what's useful.

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Awesome Retrieval Augmented Generation Systems GitHub Repositories

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  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents
  • pathwaycom/pathway

    pathwaycom/pathway

    59,684GitHubView on GitHub↗

    Pathway is a high-performance data processing framework designed for building unified batch and streaming pipelines. It functions as an orchestrator for complex data transformations, utilizing a differential dataflow engine to process updates incrementally. By treating static datasets and continuous event streams with

    Pythonbatch-processingdata-analyticsdata-pipelines
  • pathwaycom/llm-app

    pathwaycom/llm-app

    56,311GitHubView on GitHub↗

    This project is a data processing engine and AI application platform designed for building production-grade machine learning workflows. It provides a unified programming model that handles both historical batch data and live stream ingestion, enabling the development of real-time ETL pipelines and scalable data transfo

    Jupyter Notebookchatbothugging-facellm

Explore sub-tags

  • Reranking EnginesSystems that reorder retrieved search results to improve the relevance of information provided to a language model.
  • Text Generation EnginesCore processing components that generate human-like text responses based on retrieved context within an augmented generation pipeline.