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DocAILab/XRAG

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XRAG

Features

  • Knowledge Retrieval - Benchmarking framework for RAG system components.
  • Retrieval Augmented Generation - Benchmarking framework for foundational retrieval components.

Historique des stars

Graphique de l'historique des stars pour docailab/xragGraphique de l'historique des stars pour docailab/xrag

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    Kotaemon is an orchestration framework designed for building modular, agentic workflows that integrate document processing, retrieval-augmented generation, and multi-step reasoning. It provides a comprehensive platform for developing document-based question answering systems, allowing users to chain language models, prompt templates, and external tools into complex, automated pipelines. The system distinguishes itself through a highly modular architecture that emphasizes component-based composition and schema-driven data exchange. It supports autonomous agents capable of decomposing complex q

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Questions fréquentes

Quelles sont les fonctionnalités principales de docailab/xrag ?

Les fonctionnalités principales de docailab/xrag sont : Knowledge Retrieval, Retrieval Augmented Generation.

Quelles sont les alternatives open-source à docailab/xrag ?

Les alternatives open-source à docailab/xrag incluent : circlemind-ai/fast-graphrag — Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval… cinnamon/kotaemon — Kotaemon is an orchestration framework designed for building modular, agentic workflows that integrate document… 1panel-dev/maxkb — MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with… bhavnicksm/chonkie. chatchat-space/langchain-chatchat — Langchain-Chatchat is a system for building retrieval-augmented generation applications and autonomous AI agents. It… datascienceuibk/rankify.