RAG

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  1. Rerankers: A Lightweight Python Library Unifying Ranking Methods for RAG Pipelines

    Building a production-grade Retrieval-Augmented Generation (RAG) pipeline involves many decisions -- which embedding model to use, which vector...

    AI

  2. Refly: Open-Source AI-Native Knowledge Base

    Traditional knowledge bases are passive repositories. You put documents in, and you search for them later. Refly reimagines this with an AI-native...

    Open Source

  3. RAGFlow: Open-Source RAG Engine for Document Understanding

    Retrieval-Augmented Generation (RAG) has become the standard architecture for grounding LLM responses in factual data, but most RAG implementations...

    AI

  4. QAnything: NetEase's Open-Source RAG Engine

    Retrieval-augmented generation (RAG) has become the standard architecture for grounding LLM responses in real knowledge. QAnything, developed by...

    Open Source

  5. Open WebUI: Self-Hosted ChatGPT-Like Interface for Local LLMs

    Running local LLMs via Ollama is powerful, but the default terminal interface leaves room for improvement. Typing prompts into a command line works...

    AI

  6. Open Parse: Visually-Driven Document Parser for LLM-Ready RAG Pipelines

    The RAG (Retrieval-Augmented Generation) ecosystem has matured rapidly, but one bottleneck persists: garbage in, garbage out. Most document parsing...

    AI