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chensyCN avatar

chensyCN/Agentic-RAG

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View on GitHub↗
229 stars·34 forks·Python·5 vuesarxiv.org/abs/2508.06105↗

Agentic RAG

LogicRAG enables structured retrieval without building knowledge graphs on corpora. By constructing query logic dependency graphs to guide structured retrieval adaptively, it enables test-time scaling of graphRAG on large/dynamic knowledge bases. This work has been accepted to AAAI'26, with…

Features

  • GraphRAG Frameworks - Extensible agentic framework for retrieval-augmented generation.

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Alternatives open source à Agentic RAG

Projets open source similaires, classés selon le nombre de fonctionnalités partagées avec Agentic RAG.
  • memgraph/memgraphAvatar de memgraph

    memgraph/memgraph

    4,163Voir sur GitHub↗

    Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

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  • circlemind-ai/fast-graphragAvatar de circlemind-ai

    circlemind-ai/fast-graphrag

    3,811Voir sur GitHub↗

    Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval workflow to traverse structured data and isolate precise evidence for answering complex questions. The project utilizes an agent-driven retrieval framework to coordinate the querying of knowledge graphs and the synthesis of final answers. It supports incremental data synchronization, allowing structured knowledge bases to be updated in real time as source information evolves. The system integrates with API-compatible language models and embedding providers to power its data p

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  • falkordb/graphrag-sdkAvatar de FalkorDB

    FalkorDB/GraphRAG-SDK

    949Voir sur GitHub↗

    The simplest, most accurate GraphRAG framework built on FalkorDB

    Python
    Voir sur GitHub↗949
  • bibinprathap/veritasgraphAvatar de bibinprathap

    bibinprathap/VeritasGraph

    289Voir sur GitHub↗

    VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

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Voir les 15 alternatives à Agentic RAG→

Questions fréquentes

Que fait chensycn/agentic-rag ?

LogicRAG enables structured retrieval without building knowledge graphs on corpora. By constructing query logic dependency graphs to guide structured retrieval adaptively, it enables test-time scaling of graphRAG on large/dynamic knowledge bases. This work has been accepted to AAAI'26, with…

Quelles sont les fonctionnalités principales de chensycn/agentic-rag ?

Les fonctionnalités principales de chensycn/agentic-rag sont : GraphRAG Frameworks.

Quelles sont les alternatives open-source à chensycn/agentic-rag ?

Les alternatives open-source à chensycn/agentic-rag incluent : memgraph/memgraph — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management.… circlemind-ai/fast-graphrag — Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval… falkordb/graphrag-sdk — The simplest, most accurate GraphRAG framework built on FalkorDB. getzep/graphiti — Graphiti is a backend framework and memory server designed to provide artificial intelligence agents with persistent,… gusye1234/nano-graphrag — nano-graphrag is a retrieval system that uses knowledge graphs to provide structured context for large language model… bibinprathap/veritasgraph — VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware…